71 search results - page 7 / 15 » Reference point based multi-objective optimization using evo... |
78
Voted
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
101
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GECCO
2004
Springer
2004
Springer
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
15 years 3 months ago
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 ...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
ISCAS
2005
IEEE
15 years 3 months ago
2005
IEEE
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
73
Voted
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...