A new distributed evolutionary algorithm for optimization in nonstationary environments

Author

Oh, Sang-Keon ; Lee, Choon-Young ; Lee, Ju-Jang

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejon, South Korea

Volume

1

fYear

2002

Firstpage

378

Lastpage

383

Abstract

Previous studies of evolutionary algorithms (EA) focus on stationary environments where the evaluation function and constraints of the problem are fixed over time of evolution. This study introduces a new algorithm for optimization in nonstationary environments. In this study, we explore the use of a hierarchically distributed evolution model which enables us to utilize fast local search operators while maintaining the sufficient diversity to adapt the environmental changes. The results are compared with previous techniques with several test functions

Keywords

distributed algorithms; evolutionary computation; search problems; evaluation function; fast local search operators; hierarchical distributed evolutionary algorithm; hierarchically distributed evolution model; nonstationary environments; optimization; test functions; Constraint optimization; Evolutionary computation; Genetic mutations; History; Optimal control; Robustness; Steady-state; Testing; Time measurement; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on

Print_ISBN

0-7803-7282-4

Type

conf

DOI

10.1109/CEC.2002.1006264

Filename

1006264