Sciweavers

Share
CEC
2009
IEEE

Evolutionary programming with ensemble of explicit memories for dynamic optimization

10 years 2 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 recent version of evolutionary programming by introducing a simulated-annealing-like dynamic strategy parameter as well as applying local search towards the most improving directions. Diversity of the population is enhanced by an ensemble of external archives that serve as short-term and long-term memories. The archive members also act as the basic solutions when environmental changes occur. The algorithm is tested on a set of 6 multimodal problems with a total 49 change instances provided by CEC 2009 Competition on Evolutionary Computation in Dynamic and Uncertain Environments and the results are presented.
Ling Yu, Ponnuthurai N. Suganthan
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CEC
Authors Ling Yu, Ponnuthurai N. Suganthan
Comments (0)
books