Title :
Evolutionary diffusion optimization.I. Description of the algorithm
Author :
Tsui, Kwok Ching ; Liu, Jiming
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
Abstract :
This article proposes a new population-based stochastic search algorithm called evolutionary diffusion optimization (EDO) inspired by diffusion in nature. Each entity in EDO makes the decision to diffuse based on the information shared between its parent and its siblings. The behavior of EDO when solving a typical optimization problem is also discussed
Keywords :
genetic algorithms; probability; search problems; stochastic processes; evolutionary diffusion optimization; optimization problem; stochastic search algorithm; Ant colony optimization; Computer science; Equations; Evolutionary computation; Functional programming; Genetic programming; Humans; Simulated annealing; Stochastic processes; Turning;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006228
