Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
171 | Karl Bringmann, Tobias Friedrich 0001 |
The maximum hypervolume set yields near-optimal approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, pp. 511-518, 2010, ACM, 978-1-4503-0072-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
approximation, performance measures, multiobjective optimization, hypervolume indicator |
155 | Anne Auger, Johannes Bader 0002, Dimo Brockhoff, Eckart Zitzler |
Articulating user preferences in many-objective problems by sampling the weighted hypervolume. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 555-562, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
preference articulation, monte carlo sampling, hypervolume indicator |
147 | Dimo Brockhoff, Eckart Zitzler |
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 2086-2093, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
139 | Anne Auger, Johannes Bader 0002, Dimo Brockhoff, Eckart Zitzler |
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 563-570, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
preference articulation, hypervolume indicator |
115 | Xiuling Zhou, Chengyi Sun, Ning Mao, Wenjuan Li |
Generalization of HSO algorithm for computing hypervolume for multiobjective optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 3114-3118, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
115 | Mario Köppen, Katrin Franke |
Pareto-dominated Hypervolume Measure: An Alternative Approach to Color Morphology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HIS ![In: 7th International Conference on Hybrid Intelligent Systems, HIS 2007, Kaiserslautern, Germany, September 17-19, 2007, pp. 234-239, 2007, IEEE Computer Society, 0-7695-2946-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
107 | Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima |
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, pp. 527-534, 2010, ACM, 978-1-4503-0072-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
evolutionary multiobjective optimization (emo), hypervolume, indicator-based evolutionary algorithm (ibea), many objectives |
99 | Karl Bringmann, Tobias Friedrich 0001 |
Approximating the Least Hypervolume Contributor: NP-Hard in General, But Fast in Practice. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, pp. 6-20, 2009, Springer, 978-3-642-01019-4. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
91 | Tobias Friedrich 0001, Christian Horoba, Frank Neumann 0001 |
Multiplicative approximations and the hypervolume indicator. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 571-578, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
indicator-based algorithms, evolutionary algorithms, approximation, multi-objective optimization, hypervolume indicator |
91 | Lyndon While |
A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings, pp. 326-340, 2005, Springer, 3-540-24983-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
hypervolume, evolutionary computation, performance metrics, Multi-objective optimisation |
83 | Eckart Zitzler, Dimo Brockhoff, Lothar Thiele |
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings, pp. 862-876, 2007, Springer, 3-540-70927-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
83 | Lyndon While, Philip Hingston, Luigi Barone, Simon Huband |
A faster algorithm for calculating hypervolume. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 10(1), pp. 29-38, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
83 | Darrin C. Edwards, Charles E. Metz, Robert M. Nishikawa |
The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 24(3), pp. 293-299, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
75 | Tamara Ulrich, Johannes Bader 0002, Eckart Zitzler |
Integrating decision space diversity into hypervolume-based multiobjective search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, pp. 455-462, 2010, ACM, 978-1-4503-0072-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
diversity in decision space, multiobjective optimization, hypervolume indicator |
67 | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
Single-objective and multi-objective formulations of solution selection for hypervolume maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 1831-1832, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
indicator-based evolutionary algorithm, solution selection, solution set optimization, evolutionary multi-objective optimization |
67 | Lucas Bradstreet, Lyndon While, Luigi Barone |
A Fast Incremental Hypervolume Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 12(6), pp. 714-723, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
67 | Lucas Bradstreet, Lyndon While, Luigi Barone |
Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 3203-3210, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
67 | Lyndon While, Lucas Bradstreet, Luigi Barone, Philip Hingston |
Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2005, 2-4 September 2005, Edinburgh, UK, pp. 2225-2232, 2005, IEEE, 0-7803-9363-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
67 | Michael Emmerich, Nicola Beume, Boris Naujoks |
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings, pp. 62-76, 2005, Springer, 3-540-24983-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
64 | Boris Naujoks, Nicola Beume, Michael T. M. Emmerich |
Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2005, 2-4 September 2005, Edinburgh, UK, pp. 1282-1289, 2005, IEEE, 0-7803-9363-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
51 | Zack Z. Zhu |
Constraint handling with modified hypervolume indicator for multi-objective optimization problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO (Companion) ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material, pp. 2035-2038, 2010, ACM, 978-1-4503-0073-5. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
multi-objective evolutionary computation, constraint handling |
51 | Dimo Brockhoff, Tobias Friedrich 0001, Frank Neumann 0001 |
Analyzing Hypervolume Indicator Based Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN ![In: Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings, pp. 651-660, 2008, Springer, 978-3-540-87699-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
51 | Qing Yang 0007, Shengchao Ding |
Novel Algorithm to Calculate Hypervolume Indicator of Pareto Approximation Set. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (3) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings, pp. 235-244, 2007, Springer, 978-3-540-74281-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
43 | Thomas Voß, Tobias Friedrich 0001, Karl Bringmann, Christian Igel |
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO (Companion) ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material, pp. 1975-1978, 2010, ACM, 978-1-4503-0073-5. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
hypervolume, mo-cma-es, approximation, multi-objective optimization, evolution strategy, covariance matrix adaptation |
40 | Siwei Jiang, Zhihua Cai |
A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AICI ![In: Artificial Intelligence and Computational Intelligence, International Conference, AICI 2009, Shanghai, China, November 7-8, 2009. Proceedings, pp. 28-37, 2009, Springer, 978-3-642-05252-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Uniform Design, Particle Swam OPtimization, Minimum Reduce Hypervolume, Multi-Objective Optimization, Differential Evolution, Spread |
38 | Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi |
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSCI ![In: IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, December 5-8, 2023, pp. 449-456, 2023, IEEE, 978-1-6654-3065-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Ke Shang, Hisao Ishibuchi, Yang Nan 0001, Weiyu Chen |
Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSCI ![In: 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020, pp. 157-164, 2020, IEEE, 978-1-7281-2547-3. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Jingda Deng, Qingfu Zhang 0001 |
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 23(5), pp. 913-918, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
35 | Benjamin Schmitt, Alexander A. Pasko, Christophe Schlick |
Constructive Hypervolume Modeling Using Extended Space Mappings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Heterogeneous Objects Modelling and Applications ![In: Heterogeneous Objects Modelling and Applications, Collection of Papers on Foundations and Practice, pp. 167-192, 2008, Springer, 978-3-540-68441-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
35 | Víctor A. Braberman, Jorge Lucángeli Obes, Alfredo Olivero, Fernando Schapachnik |
Hypervolume Approximation in Timed Automata Model Checking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FORMATS ![In: Formal Modeling and Analysis of Timed Systems, 5th International Conference, FORMATS 2007, Salzburg, Austria, October 3-5, 2007, Proceedings, pp. 69-81, 2007, Springer, 978-3-540-75453-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
32 | Coromoto León, Gara Miranda, Carlos Segura |
Hyperheuristics for a Dynamic-Mapped Multi-Objective Island-Based Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWANN (2) ![In: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II, pp. 41-49, 2009, Springer, 978-3-642-02480-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
32 | Wolfgang Ponweiser, Tobias Wagner 0001, Dirk Biermann, Markus Vincze |
Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted -Metric Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN ![In: Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings, pp. 784-794, 2008, Springer, 978-3-540-87699-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Efficient Global Optimization, Design and Analysis of Computer Experiments, metric, Multiobjective Optimization, Real-World Problems |
32 | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
Iterative approach to indicator-based multiobjective optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 3967-3974, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
32 | Matteo Nicolini |
A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings, pp. 736-751, 2005, Springer, 3-540-24983-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
24 | Rudolf Berghammer, Tobias Friedrich 0001, Frank Neumann 0001 |
Set-based multi-objective optimization, indicators, and deteriorative cycles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, pp. 495-502, 2010, ACM, 978-1-4503-0072-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
performance measures, multiobjective optimization, cycles, hypervolume indicator |
24 | Miqing Li, Jinhua Zheng |
Spread Assessment for Evolutionary Multi-Objective Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, pp. 216-230, 2009, Springer, 978-3-642-01019-4. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Hypervolume, Boundary solution, Multi-objective optimization, Performance assessment, Spread |
24 | Elena L. Kartasheva, Valery Adzhiev, Alexander A. Pasko, Oleg Fryazinov, Vladimir A. Gasilov |
Discretization of functionally based heterogeneous objects. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symposium on Solid Modeling and Applications ![In: Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications 2003, Seattle, Washington, USA, June 16 - 20, 2003, pp. 145-156, 2003, ACM, 1-58113-752-4. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
constructive hypervolume, mesh, finite element analysis, attributes, volume modeling, function representation, heterogeneous objects, cellular representation |
19 | Ke Shang, Tianye Shu, Hisao Ishibuchi |
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 28(1), pp. 105-116, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Shulei Liu, Handing Wang, Wen Yao, Wei Peng |
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 28(1), pp. 132-146, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Liang Zhao, Qingfu Zhang 0001 |
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 28(2), pp. 432-444, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Ping Guo 0007, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang 0001 |
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.05100, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Maomao Liang, Liangying Wang, Lijin Wang, Yiwen Zhong |
A hypervolume-based cuckoo search algorithm with enhanced diversity and adaptive scaling factor. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 151, pp. 111073, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Kaan Deveci, Onder Guler |
Ranking intuitionistic fuzzy sets with hypervolume-based approach: An application for multi-criteria assessment of energy alternatives. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 150, pp. 111038, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Jorge Alberto Soria-Alcaraz, Gabriela Ochoa, Marco Aurelio Sotelo-Figueroa, Andrés Espinal |
Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective Hyper-heuristic. ![Search on Bibsonomy](Pics/bibsonomy.png) |
New Directions on Hybrid Intelligent Systems ![In: New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms, pp. 99-110, 2024, Springer, 978-3-031-53712-7. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
19 | Yong Pang, Yitang Wang, Shuai Zhang, Xiaonan Lai, Wei Sun 0030, Xueguan Song |
An Expensive Many-Objective Optimization Algorithm Based on Efficient Expected Hypervolume Improvement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 27(6), pp. 1822-1836, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi |
HV-Net: Hypervolume Approximation Based on DeepSets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 27(4), pp. 1154-1160, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yang Nan 0001, Ke Shang, Hisao Ishibuchi, Linjun He |
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 27(6), pp. 1690-1704, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yong Pang, Liangliang Yang, Yitang Wang, Xiaonan Lai, Wei Sun 0030, Xueguan Song |
A Latin hypervolume design for irregular sampling spaces and its application in the analysis of cracks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Comput. ![In: Eng. Comput. 39(5), pp. 3509-3526, October 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Jude T. Anderson, David M. Williams |
Space-time hypervolume meshing part 1: Point insertion, geometric predicates, and bistellar flips. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2312.17414, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | |
Optimal Scalarizations for Sublinear Hypervolume Regret. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2307.03288, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Chengxin Wen, Peiqiu Huang, Shaolong Shi, Lihua Li |
A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(22), pp. 27912-27933, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Yang Nan 0001, Tianye Shu, Hisao Ishibuchi |
Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMC ![In: IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023, pp. 1154-1161, 2023, IEEE, 979-8-3503-3702-0. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Andrzej Jaszkiewicz, Piotr Zielniewicz |
On-line Quick Hypervolume Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO Companion ![In: Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, pp. 371-374, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023, pp. 679-687, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Han Zhu, Ke Shang, Hisao Ishibuchi |
STHV-Net: Hypervolume Approximation based on Set Transformer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023, pp. 804-812, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Xiaoyuan Zhang, Xi Lin 0001, Bo Xue, Yifan Chen, Qingfu Zhang 0001 |
Hypervolume Maximization: A Geometric View of Pareto Set Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023., 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
19 | Yang Nan 0001, Hisao Ishibuchi, Tianye Shu, Ke Shang |
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings, pp. 391-404, 2023, Springer, 978-3-031-27249-3. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | André H. Deutz, Michael Emmerich, Hao Wang 0025 |
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMO ![In: Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings, pp. 405-418, 2023, Springer, 978-3-031-27249-3. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Jim Boelrijk, Bernd Ensing, Patrick Forré |
Multi-objective optimization via equivariant deep hypervolume approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
19 | Samuel Daulton, Maximilian Balandat, Eytan Bakshy |
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA., pp. 7167-7204, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
19 | Guotong Wu, Tianye Shu, Yang Nan 0001, Ke Shang, Hisao Ishibuchi |
Ensemble R2-based Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSCI ![In: IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, December 5-8, 2023, pp. 1503-1510, 2023, IEEE, 978-1-6654-3065-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Tianye Shu, Guotong Wu, Yang Nan 0001, Lie Meng Pang, Hisao Ishibuchi |
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSCI ![In: IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, December 5-8, 2023, pp. 433-440, 2023, IEEE, 978-1-6654-3065-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan 0001, Weiduo Liao |
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 26(2), pp. 349-363, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman |
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Evol. Comput. ![In: Evol. Comput. 30(3), pp. 329-353, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Luís Paquete, Britta Schulze, Michael Stiglmayr, Ana C. Lourenço |
Computing representations using hypervolume scalarizations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Oper. Res. ![In: Comput. Oper. Res. 137, pp. 105349, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Alper Türkyilmaz, Özlem Senvar, Irem Ünal, Serol Bulkan |
A hybrid genetic algorithm based on a two-level hypervolume contribution measure selection strategy for bi-objective flexible job shop problem. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Oper. Res. ![In: Comput. Oper. Res. 141, pp. 105694, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Youwei He, Jinju Sun, Peng Song, Xuesong Wang |
Variable-fidelity hypervolume-based expected improvement criteria for multi-objective efficient global optimization of expensive functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Comput. ![In: Eng. Comput. 38(4), pp. 3663-3689, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | André H. Deutz, Michael T. M. Emmerich, Hao Wang 0025 |
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2211.04171, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Kaan Deveci, Onder Guler |
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2212.13908, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Tianye Shu, Hisao Ishibuchi |
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2201.06707, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
19 | Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi |
HV-Net: Hypervolume Approximation based on DeepSets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.02185, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Jim Boelrijk, Bernd Ensing, Patrick Forré |
Multi-objective optimization via equivariant deep hypervolume approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2210.02177, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Hao Wang 0025, Kaifeng Yang, Michael Affenzeller, Michael Emmerich |
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2205.05505, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger 0001, Kaisa Miettinen |
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2206.07834, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Qingyu Wang, Takuji Nakashima, Chenguang Lai, Bo Hu, Xinru Du, Zhongzheng Fu, Taiga Kanehira, Yasufumi Konishi, Hiroyuki Okuizumi, Hidemi Mutsuda |
Enhanced expected hypervolume improvement criterion for parallel multi-objective optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Sci. ![In: J. Comput. Sci. 65, pp. 101903, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete |
The Hypervolume Indicator: Computational Problems and Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Comput. Surv. ![In: ACM Comput. Surv. 54(6), pp. 119:1-119:42, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Cristian Sandoval, Oliver Cuate, Luis C. González, Leonardo Trujillo, Oliver Schütze |
Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 125, pp. 109103, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Zhao Wang, Maoguo Gong, Peng Li, Jie Gu, Weidong Tian |
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 116, pp. 108297, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Shulei Liu, Handing Wang, Wen Yao |
A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 126, pp. 109263, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Andrzej Jaszkiewicz, Piotr Zielniewicz |
Greedy Decremental Quick Hypervolume Subset Selection Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (2) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II, pp. 164-178, 2022, Springer, 978-3-031-14720-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger 0001, Kaisa Miettinen |
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (1) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I, pp. 90-103, 2022, Springer, 978-3-031-14713-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Tianye Shu, Ke Shang, Yang Nan 0001, Hisao Ishibuchi |
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (2) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II, pp. 110-123, 2022, Springer, 978-3-031-14720-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Weiduo Liao, Hisao Ishibuchi |
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (1) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I, pp. 414-426, 2022, Springer, 978-3-031-14713-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Damy M. F. Ha, Timo M. Deist, Peter A. N. Bosman |
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (2) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II, pp. 179-192, 2022, Springer, 978-3-031-14720-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Diana Cristina Valencia-Rodríguez, Carlos Artemio Coello Coello |
Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation Using Polar Coordinates (MOEA-LAPCO). ![Search on Bibsonomy](Pics/bibsonomy.png) |
PPSN (2) ![In: Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II, pp. 221-233, 2022, Springer, 978-3-031-14720-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Chengxin Wen |
A Hypervolume Approximation Method Based on Angular Point. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CEC ![In: IEEE Congress on Evolutionary Computation, CEC 2022, Padua, Italy, July 18-23, 2022, pp. 1-8, 2022, IEEE, 978-1-6654-6708-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Raquel Hernández Gómez, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello |
Considerations in the Incremental Hypervolume Algorithm of the WFG. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICAI (1) ![In: Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, Proceedings, Part I, pp. 410-422, 2022, Springer, 978-3-031-19492-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Tingting Chen, Zhanqi Xu, Fan Yang, Yunbo Li |
Adaptive Evolution Algorithm Based on Hypervolume Awareness for Controller Placement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCT ![In: 22nd IEEE International Conference on Communication Technology, ICCT 2022, Nanjing, China, November 11-14, 2022, pp. 645-651, 2022, IEEE, 978-1-6654-7067-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Aitor Arrieta |
Is the revisited hypervolume an appropriate quality indicator to evaluate multi-objective test case selection algorithms? ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022, pp. 1317-1326, 2022, ACM, 978-1-4503-9237-2. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Xinyu Liang, Cai Dai, Na Ye |
Multi-objective particle swarm optimization algorithm based on decomposition and hypervolume for synthesis gas production. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIS ![In: 18th International Conference on Computational Intelligence and Security, CIS 2022, Chengdu, China, December 16-18, 2022, pp. 356-359, 2022, IEEE, 979-8-3503-4627-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
19 | Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang |
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Evol. Comput. ![In: IEEE Trans. Evol. Comput. 25(1), pp. 1-20, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Andreia P. Guerreiro, Vasco M. Manquinho, José Rui Figueira |
Exact hypervolume subset selection through incremental computations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Oper. Res. ![In: Comput. Oper. Res. 136, pp. 105471, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Gaurav Dhiman, Mukesh Soni, Hari Mohan Pandey, Adam Slowik, Harsimran Kaur |
A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Comput. ![In: Eng. Comput. 37(4), pp. 3017-3035, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Faran Irshad, Stefan Karsch, Andreas Döpp |
Expected hypervolume improvement for simultaneous multi-objective and multi-fidelity optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2112.13901, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
19 | Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan 0001, Weiduo Liao |
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2104.09736, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
19 | Samuel Daulton, Maximilian Balandat, Eytan Bakshy |
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.08195, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
19 | Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman |
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2102.04523, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
19 | Sumit Mishra, Srinibas Swain, Sangita Sarmah, Carlos A. Coello Coello |
Hypervolume by Slicing Objective Algorithm: An Improved Version. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CEC ![In: IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021, pp. 2451-2458, 2021, IEEE, 978-1-7281-8393-0. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Yang Nan 0001, Ke Shang, Hisao Ishibuchi, Linjun He |
A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CEC ![In: IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021, pp. 2468-2475, 2021, IEEE, 978-1-7281-8393-0. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
19 | Zhou Zhou, Zuling Wang, Tingting Pang, Jing Wei, Ze Chen |
A Competition-Cooperation Evolutionary Algorithm with Bidirectional Multi-population Local Search and Local Hypervolume-based Strategy for Multi-objective Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CEC ![In: IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021, pp. 153-160, 2021, IEEE, 978-1-7281-8393-0. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|