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» On Benchmarking Stochastic Global Optimization Algorithms
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ANTSW
2008
Springer
14 years 11 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
94
Voted
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 3 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
85
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 29 days ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
78
Voted
IPPS
2009
IEEE
15 years 4 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen