摘要
1.引言
演化算法是建立在生物进化论基础上的算法,生物体可以通过遗传和变异来适应外界环境,物生其类,传种接代,这是生物的独特本领.各种生物所生的子代基本上像父代,这就是遗传;而所生的子代又不完全像父代,这就是变异.
Based on the evolutionary algorithm in the literature, this paper puts forward some strategies for improving this algoritm by extending crossover and adding more mutations. By the strategies, the community scales can be contracted, the speed of convergence speeded up, and the calculating abilities increased . Through the calculation of five kind different type examples for non-linear planning , the paper confirms that this calculation is quite adaptable and effective in scanning the overall solution and getting better results than MATLAB software computing.
出处
《计算机科学》
CSCD
北大核心
2002年第9期30-32,共3页
Computer Science
基金
国家自然科学基金(编号:60133010
60073043
70671042)
