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» On Benchmarking Stochastic Global Optimization Algorithms
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GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 9 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)Evolution-Strategies (ESs) with the aim of designing fast and robus...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
HIS
2009
13 years 5 months ago
On Some Properties of the lbest Topology in Particle Swarm Optimization
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
CEC
2009
IEEE
14 years 2 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
TEC
2010
171views more  TEC 2010»
13 years 2 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
CEC
2009
IEEE
14 years 2 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...