Sciweavers

Share
112 search results - page 1 / 23
» Towards high speed multiobjective evolutionary optimizers
Sort
View
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
8 years 10 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
9 years 2 months ago
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
Hisao Ishibuchi, Youhei Shibata
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
9 years 27 days ago
A new multi-objective evolutionary algorithm for solving high complex multi-objective problems
Kangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Che...
GECCO
2003
Springer
245views Optimization» more  GECCO 2003»
9 years 2 months ago
A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Abstract. This paper introduces a modified PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...
Xiaodong Li
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
9 years 2 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
books