Search results for "Nature-Inspired Algorithms for Optimisation"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Ville Tirronen, Ferrante Neri	Differential Evolution with Fitness Diversity Self-adaptation.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Yu Wang, Bin Li	A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Tom Lenaerts, Anne Defaweux, Jano I. van Hemert	The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Pablo Rabanal, Ismael Rodríguez, Fernando Rubio	Applying River Formation Dynamics to Solve NP-Complete Problems.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Antonio Neme, Sergio Hernández	Algorithms Inspired in Social Phenomena.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Tse Guan Tan, Jason Teo	Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Yoel Tenne	A Model-Assisted Memetic Algorithm for Expensive Optimization Problems.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Feijoo Colomine Duran, Carlos Cotta, Antonio J. Fernández	Evolutionary Optimization for Multiobjective Portfolio Selection under Markowitz's Model with Application to the Caracas Stock Exchange.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Ying Tan, Junqi Zhang	Magnifier Particle Swarm Optimization.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Carmelo J. A. Bastos Filho, Fernando Buarque de Lima Neto, Anthony J. C. C. Lins, Antônio I. S. Nascimento, Marília P. Lima	Fish School Search.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Heder S. Bernardino, Helio J. C. Barbosa	Artificial Immune Systems for Optimization.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Thomas Weise, Michael Zapf, Raymond Chiong, Antonio J. Nebro	Why Is Optimization Difficult?.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Antonio J. Nebro, Juan José Durillo	On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Efrén Mezura-Montes, Jorge Isacc Flores-Mendoza	Improved Particle Swarm Optimization in Constrained Numerical Search Spaces.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Ralf Salomon, Dirk V. Arnold	The Evolutionary-Gradient-Search Procedure in Theory and Practice.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Antonio López Jaimes, Luis V. Santana-Quintero, Carlos A. Coello Coello	Ranking Methods in Many-Objective Evolutionary Algorithms.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Leena N. Patel	Central Pattern Generators: Optimisation and Application.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	Kent C. B. Steer, Andrew Wirth, Saman K. Halgamuge	The Rationale Behind Seeking Inspiration from Nature.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF

Publications at "Nature-Inspired Algorithms for Optimisation"( http://dblp.L3S.de/Venues/Nature-Inspired_Algorithms_for_Optimisation )