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CEC
2009
IEEE
10 years 1 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
CEC
2009
IEEE
10 years 1 months ago
Evolutionary programming with ensemble of explicit memories for dynamic optimization
—This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recen...
Ling Yu, Ponnuthurai N. Suganthan
CEC
2009
IEEE
10 years 1 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
SAC
2009
ACM
10 years 1 months ago
Keeping diversity when exploring dynamic environments
This paper presents a new exploration mechanism based on a heterogeneous multi-agent system that combines attractive and repulsive agents. We provide experimental results about th...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
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