Search results for "Kumara Sastry"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg	Using Previous Models to Bias Structural Learning in the Hierarchical BOA.	Evolutionary Computation	2012	DBLP DOI BibTeX RDF
1	Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan	Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.	Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima	Analyzing Probabilistic Models in Hierarchical BOA.	IEEE Trans. Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi	Facetwise Analysis of XCS for Problems With Class Imbalances.	IEEE Trans. Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.	GECCO	2009	DBLP DOI BibTeX RDF	hboa, genetic algorithm, scalability, performance analysis, hybridization, crossover, fitness landscape, hierarchical boa, problem difficulty, nk fitness landscape
1	Martin Pelikan, Kumara Sastry	Initial-population bias in the univariate estimation of distribution algorithm.	GECCO	2009	DBLP DOI BibTeX RDF	noisy onemax, onemax, population bias, time to convergence, scalability, estimation of distribution algorithms, population size, edas, univariate marginal distribution algorithm, umda
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Sporadic model building for efficiency enhancement of the hierarchical BOA.	Genetic Programming and Evolvable Machines	2008	DBLP DOI BibTeX RDF	Sporadic model building, Estimation of distribution algorithms, Bayesian optimization algorithm, Efficiency enhancement, Hierarchical BOA
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	iBOA: The Incremental Bayesian Optimization Algorithm	CoRR	2008	DBLP BibTeX RDF
1	Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu	Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems.	Linkage in Evolutionary Computation	2008	DBLP DOI BibTeX RDF	real-coded ECGA, probabilistic model building, real-valued decomposable optimization problem, population sizing and sampling, genetic and evolutionary computation
1	Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild	Linkage Learning Accuracy in the Bayesian Optimization Algorithm.	Linkage in Evolutionary Computation	2008	DBLP DOI BibTeX RDF
1	Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg	Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models.	Linkage in Evolutionary Computation	2008	DBLP DOI BibTeX RDF
1	Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry	Enhancing the Efficiency of the ECGA.	PPSN	2008	DBLP DOI BibTeX RDF	Estimation of Distribution Algorithms, Model Building, Efficiency Enhancement, ECGA
1	Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry	Improving the efficiency of the extended compact genetic algorithm.	GECCO	2008	DBLP DOI BibTeX RDF	estimation of distribution algorithms, model building, efficiency enhancement, ECGA
1	Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg	Using previous models to bias structural learning in the hierarchical BOA.	GECCO	2008	DBLP DOI BibTeX RDF	probabilistic model, estimation of distribution algorithms, prior knowledge, hierarchical boa, model complexity, learning from experience
1	Yuji Sato, David E. Goldberg, Kumara Sastry	Improving small population performance under noise with viral infection + tropism.	GECCO	2008	DBLP DOI BibTeX RDF	deceptive problem, tropism, virus infection, genetic algorithms, multimodality, building block, noisy optimization
1	Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg	Speeding online synthesis via enforced selecto-recombination.	GECCO	2008	DBLP DOI BibTeX RDF	human-based genetic algorithms, superficiality on online communication, creativity, innovation, brainstorming, online discussion
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	iBOA: the incremental bayesian optimization algorithm.	GECCO	2008	DBLP DOI BibTeX RDF	BOA, iBOA, incremental boa, incremental model update, evolutionary computation, estimation of distribution algorithms, EDA, bayesian optimization algorithm
1	Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry	Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity.	Genetic Programming and Evolvable Machines	2007	DBLP DOI BibTeX RDF	Solution sustenance, Learning classifier systems, XCS, Mutation, LCS, Niching, Markov chain analysis
1	David E. Goldberg, Kumara Sastry, Xavier Llorà	Toward routine billion-variable optimization using genetic algorithms.	Complexity	2007	DBLP DOI BibTeX RDF
1	Tian-Li Yu, Kumara Sastry, David E. Goldberg	Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.	Parameter Setting in Evolutionary Algorithms	2007	DBLP DOI BibTeX RDF
1	Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla	Modeling selection pressure in XCS for proportionate and tournament selection.	GECCO	2007	DBLP DOI BibTeX RDF	proportionate selection, XCS, LCS, tournament selection
1	Kumara Sastry, David E. Goldberg	Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems.	GECCO	2007	DBLP DOI BibTeX RDF	domino convergence, drift time, exponential scaling, noisy fitness functions, genetic algorithms, scaling, speedup, mutation, crossover, building blocks, salience, population sizing, efficiency enhancement, convergence time, scalability analysis
1	Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry	Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.	GECCO	2007	DBLP DOI BibTeX RDF	estimation of distribution algorithms, bayesian optimization algorithm, hierarchical BOA, model accuracy
1	Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.	GECCO	2007	DBLP DOI BibTeX RDF	DSMGA, fitness estimation, surrogate fitness, xeCCS, learning classifier system, EDA, genetics-based machine learning
1	Kumara Sastry, Martin Pelikan, David E. Goldberg	Empirical analysis of ideal recombination on random decomposable problems.	GECCO	2007	DBLP DOI BibTeX RDF	additively-decomposable problems, ideal crossover, genetic algorithms, building blocks, empirical analysis, population sizing, convergence time, problem difficulty, test problems, scalability analysis
1	Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla	Modeling XCS in class imbalances: population size and parameter settings.	GECCO	2007	DBLP DOI BibTeX RDF	genetic algorithms, machine learning, evolutionary computation, learning classifier systems, class imbalance
1	Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan	Population sizing for entropy-based model building in discrete estimation of distribution algorithms.	GECCO	2007	DBLP DOI BibTeX RDF	genetic algorithms, entropy, mutual information, estimation of distribution algorithms, population sizing, model building
1	Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor	Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.	GECCO	2007	DBLP DOI BibTeX RDF	alphabet reduction, coordination number prediction, evolutionary algorithms, bioinformatics, learning classifier systems, estimation of distribution algorithms, rule induction, protein structure prediction
1	Kumara Sastry, David E. Goldberg, Xavier Llorà	Towards billion-bit optimization via a parallel estimation of distribution algorithm.	GECCO	2007	DBLP DOI BibTeX RDF	billion-variable optimization, parallelization, vectorization, population sizing, large-scale optimization, efficiency enhancement, convergence time, scalability analysis, compact genetic algorithm
1	Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg	Substructrual surrogates for learning decomposable classification problems: implementation and first results.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	machine learning, estimation of distribution algorithms, structural learning
1	Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild	Influence of selection and replacement strategies on linkage learning in BOA.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu	Real-coded ECGA for solving decomposable real-valued optimization problems.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez	A Simple Real-Coded Extended Compact Genetic Algorithm.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari	Analysis of Population Evolution in Classifier Systems Using Symbolic Representations.	IWLCS	2007	DBLP DOI BibTeX RDF
1	Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg	Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System.	IWLCS	2007	DBLP DOI BibTeX RDF
1	Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla	Substructural Surrogates for Learning Decomposable Classification Problems.	IWLCS	2007	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, Erick Cantú-Paz	Introduction.	Scalable Optimization via Probabilistic Modeling	2006	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, Erick Cantú-Paz (eds.)	Scalable Optimization via Probabilistic Modeling		2006	DBLP BibTeX RDF
1	Kumara Sastry, Martin Pelikan, David E. Goldberg	Efficiency Enhancement of Estimation of Distribution Algorithms.	Scalable Optimization via Probabilistic Modeling	2006	DBLP DOI BibTeX RDF
1	Georges R. Harik, Fernando G. Lobo, Kumara Sastry	Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA).	Scalable Optimization via Probabilistic Modeling	2006	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Multiobjective Estimation of Distribution Algorithms.	Scalable Optimization via Probabilistic Modeling	2006	DBLP DOI BibTeX RDF
1	Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.	PPSN	2006	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg	Performance of Evolutionary Algorithms on Random Decomposable Problems.	PPSN	2006	DBLP DOI BibTeX RDF
1	Martin Pelikan, Alexander K. Hartmann, Kumara Sastry	Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.	PPSN	2006	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg	Hierarchical BOA on random decomposable problems.	GECCO	2006	DBLP DOI BibTeX RDF	decomposable problems, optimization, scalability, performance analysis, evolutionary algorithms, hierarchical BOA
1	Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens	Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry.	GECCO	2006	DBLP DOI BibTeX RDF	multiobjective genetic algorithms, non-domination, photochemistry, semiempirical methods, niching, population sizing, NSGA-II, convergence time, multiscale modeling
1	Kumara Sastry, Cláudio F. Lima, David E. Goldberg	Evaluation relaxation using substructural information and linear estimation.	GECCO	2006	DBLP DOI BibTeX RDF	evaluation relaxation, fitness surrogates, estimation of distribution algorithms, linear regression, speed-up, efficiency enhancement, extended compact genetic algorithms
1	Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge	Analyzing active interactive genetic algorithms using visual analytics.	GECCO	2006	DBLP DOI BibTeX RDF	active learning, visual analytics, interactive genetic algorithms, model learning
1	Xavier Llorà, Kumara Sastry	Fast rule matching for learning classifier systems via vector instructions.	GECCO	2006	DBLP DOI BibTeX RDF	fast rule matching, learning classifier systems, Altivec, vector operations, SSE2
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Sporadic model building for efficiency enhancement of hierarchical BOA.	GECCO	2006	DBLP DOI BibTeX RDF	sporadic model building, estimation of distribution algorithms, Bayesian optimization algorithm, efficiency enhancement, hierarchical BOA
1	Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima	Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
1	Martin V. Butz, Kumara Sastry, David E. Goldberg	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.	Genetic Programming and Evolvable Machines	2005	DBLP DOI BibTeX RDF	learning classifier systems, XCS, genetics based machine learning, tournament selection
1	Radovan Ondas, Martin Pelikan, Kumara Sastry	Scalability of Genetic Programming and Probabilistic Incremental Program Evolution	CoRR	2005	DBLP BibTeX RDF
1	Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson	Sub-structural Niching in Estimation of Distribution Algorithms	CoRR	2005	DBLP BibTeX RDF
1	Kumara Sastry, Una-May O'Reilly, David E. Goldberg	Population Sizing for Genetic Programming Based Upon Decision Making	CoRR	2005	DBLP BibTeX RDF
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Multiobjective hBOA, Clustering, and Scalability	CoRR	2005	DBLP BibTeX RDF
1	Kumara Sastry, Hussein A. Abbass, David E. Goldberg	Sub-Structural Niching in Non-Stationary Environments	CoRR	2005	DBLP BibTeX RDF
1	Hussein A. Abbass, Kumara Sastry, David E. Goldberg	Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments	CoRR	2005	DBLP BibTeX RDF
1	Kumara Sastry, Martin Pelikan, David E. Goldberg	Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms	CoRR	2005	DBLP BibTeX RDF
1	Xavier Llorà, Kumara Sastry, David E. Goldberg	Binary Rule Encoding Schemes: A Study Using the Compact Classifier System.	IWLCS	2005	DBLP DOI BibTeX RDF
1	Xavier Llorà, Kumara Sastry, David E. Goldberg	The compact classifier system: motivation, analysis, and first results.	GECCO	2005	DBLP DOI BibTeX RDF	compact classifier system, maximally general classifiers, spawning and merging populations, learning classifier systems
1	Tian-Li Yu, Kumara Sastry, David E. Goldberg	Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination.	GECCO	2005	DBLP DOI BibTeX RDF	overlapping building blocks, genetic algorithms, model building, linkage learning
1	Radovan Ondas, Martin Pelikan, Kumara Sastry	Scalability of genetic programming and probabilistic incremental program evolution.	GECCO	2005	DBLP DOI BibTeX RDF	order problem, trap problem, scalability, genetic programming, PIPE
1	Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo	Combining competent crossover and mutation operators: a probabilistic model building approach.	GECCO	2005	DBLP DOI BibTeX RDF	BB-wise mutation, competent genetic algorithms, hybridization, probabilistic model building genetic algorithms
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Multiobjective hBOA, clustering, and scalability.	GECCO	2005	DBLP DOI BibTeX RDF	BOA, nondominated sorting, genetic algorithms, clustering, multiobjective optimization, estimation of distribution algorithms, NSGA-II
1	Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson	Sub-structural niching in estimation of distribution algorithms.	GECCO	2005	DBLP DOI BibTeX RDF	fitness estimation, genetic algorithms, multimodal, probabilistic models, estimation of distribution algorithms, building blocks, niching, multiobjective, eCGA, fitness approximation
1	Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi	Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness.	GECCO	2005	DBLP DOI BibTeX RDF	human evaluation, synthetic fitness, support vector machines, interactive evolutionary computation
1	Xavier Llorà, Kumara Sastry, David E. Goldberg	Binary rule encoding schemes: a study using the compact classifier system.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	binary rule encoding, compact classifier system, maximally general classifiers, learning classifier systems
1	Xavier Llorà, Kumara Sastry, David E. Goldberg	The compact classifier system: scalability analysis and first results.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Tian-Li Yu, Kumara Sastry, David E. Goldberg	Online population size adjusting using noise and substructural measurements.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Kumara Sastry, David E. Goldberg, Martin Pelikan	Limits of scalability of multiobjective estimation of distribution algorithms.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods	CoRR	2004	DBLP BibTeX RDF
1	Kumara Sastry, David E. Goldberg, Martin Pelikan	Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms	CoRR	2004	DBLP BibTeX RDF
1	Kumara Sastry, Martin Pelikan, David E. Goldberg	Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation	CoRR	2004	DBLP BibTeX RDF
1	Martin Pelikan, Kumara Sastry	Fitness inheritance in the Bayesian optimization algorithm	CoRR	2004	DBLP BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head	CoRR	2004	DBLP BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head.	GECCO	2004	DBLP DOI BibTeX RDF
1	Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg	Inducing Sequentiality Using Grammatical Genetic Codes.	GECCO	2004	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry	Fitness Inheritance in the Bayesian Optimization Algorithm.	GECCO	2004	DBLP DOI BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods.	GECCO	2004	DBLP DOI BibTeX RDF
1	Kumara Sastry, Hussein A. Abbass, David E. Goldberg	Sub-structural Niching in Non-stationary Environments.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
1	David E. Goldberg, Kumara Sastry, Yukio Ohsawa	Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs.	Chance Discovery	2003	DBLP BibTeX RDF
1	Martin Butz, Kumara Sastry, David E. Goldberg	Tournament Selection: Stable Fitness Pressure in XCS.	GECCO	2003	DBLP DOI BibTeX RDF
1	Tian-Li Yu, David E. Goldberg, Kumara Sastry	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem.	GECCO	2003	DBLP DOI BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage.	GECCO	2003	DBLP DOI BibTeX RDF
1	Martin Pelikan, Kumara Sastry, David E. Goldberg	Scalability of the Bayesian optimization algorithm.	Int. J. Approx. Reasoning	2002	DBLP DOI BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values.	GECCO	2002	DBLP BibTeX RDF
1	Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry	Fitness Inheritance In Multi-objective Optimization.	GECCO	2002	DBLP BibTeX RDF
1	Kumara Sastry, David E. Goldberg	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances.	GECCO	2002	DBLP BibTeX RDF

Publications of "Kumara Sastry" ( http://dblp.L3S.de/Authors/Kumara_Sastry )