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» On Benchmarking Stochastic Global Optimization Algorithms
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CEC
2010
IEEE
13 years 8 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...
CEC
2010
IEEE
13 years 8 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 11 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ENC
2003
IEEE
14 years 1 months ago
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
Efrén Mezura-Montes, Carlos A. Coello Coell...
CEC
2008
IEEE
14 years 2 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin