190 search results - page 7 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Recently, gradient techniques for solving numerical multi
GECCO
2003
Springer
15 years 7 months ago
2003
Springer
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
116
Voted
GECCO
2010
Springer
15 years 5 months ago
2010
Springer
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
114
click to vote
GECCO
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...