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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
13 years 12 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
13 years 11 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
GECCO
2004
Springer
156views Optimization» more  GECCO 2004»
13 years 11 months ago
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation
We combine interactive evolutionary computation (IEC) with existing evolutionary synthesis software for the design of micromachined resonators and evaluate its effectiveness using...
Raffi R. Kamalian, Hideyuki Takagi, Alice M. Agogi...
GECCO
2008
Springer
113views Optimization» more  GECCO 2008»
13 years 6 months ago
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study
Dilip Datta, José Rui Figueira, Carlos M. F...
AIIDE
2008
13 years 8 months ago
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...
Jacob Schrum, Risto Miikkulainen