A New Dynamical Evolutionary Algorithm By Using Chaos
In this paper, a new dynamical evolutionary algorithm using chaos (CDEA) is proposed based on the statistical mechanics. Using spread-spectrum characteristic of chaos,we generate multi-population in remote difference of the initial conditions. According to the selecting strategy of traditional dynamical evolutionary algorithm the best individual of the multi-population is migrated into the other populations replacing the worst one of them affirmatively has the chance to evolve. The algorithm presented in this paper by introducing chaos has bigger selective pressure,and can keep diversity of the system. In order to verify the effectiveness of our algorithm, we apply CDEA to solve the typical numerical function minimization problems. The experimental results show that CDEA is fast and reliable.
Dynamical Evolutionary Algorithm Statistical Mechanics Chaos Global Optimization Multi-population
Xing Xu Yuanxiang Li Weiqin Ying
The State Key Laboratory of Software Engineering, Wuhan University Wuhan, Hubei, 430072 P.R.China
国际会议
杭州
英文
488-490
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）