Title :
Mind evolutionary computation with swarm intelligence
Author :
Qiao, Gang-Zhu ; Jie, Jing ; Zeng, Jian-chao ; He, Xiao-Juan
Author_Institution :
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Abstract :
Mind evolutionary computation (MEC) is a novel stochastic algorithm that derived from man´s swarm intelligence. Based on the swarm theory, the social behavior analysis about MEC is made and the searching mechanisms of its operators are studied. After that, a parameter analysis is provided for the similar axis operator, and a cooperation-based dissimilation operator (CDO) is developed. Finally, a series of experiments have been done to make a parameter choice and an evaluation for MEC. The results illustrate MEC with CDO is a viable global optimization method owning robust ability.
Keywords :
artificial intelligence; evolutionary computation; stochastic processes; cooperation-based dissimilation operator; global optimization; mind evolutionary computation; stochastic algorithm; swarm intelligence; Algorithm design and analysis; Analytical models; Biological system modeling; Biology computing; Computational modeling; Evolution (biology); Evolutionary computation; Optimization methods; Particle swarm optimization; Robustness;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382158
