Global Convergence Analysis of Non-Crossover Genetic Algorithm and Its Application to Optimization

• 作 者: Dai Xiaoming Sun Rong Zou Runm
• 机 构: Dept.ofAuto.
• 出 处: 系统工程与电子技术：英文版
• 发表日期: 2002年2期
• 关键词: Canonical Genetic algorithm ERGODIC HOMOGENEOUS MARKOV CHAIN Global convergenc

Selection, crossover, and mutation are three main operators of the canonical genetic algorithm (CGA). This paper presents a new approach to the genetic algorithm. This new approach applies only to mutation and selection operators. The paper proves that th