Title :
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
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006264
