节点文献
多目标优化的微分进化算法
Differential evolution algorithm for multi-objective optimization
【摘要】 将微分进化算法的应用范围从求解无约束单目标优化推广到求解一般情形的多目标优化。与传统优化算法及一般的进化算法相比,该算法特点在于直接将约束条件以及多目标性结合到进化算子中。算例表明,该算法是有效的。
【Abstract】 The application scope of differential evolution algorithm is extended to a general multi-objective optimization from unconstrained single-objective optimization.Compared with the tradtional optimizational algorithm and the general evolutionary algorithm,the features of this algorithm is constraints and the multi-objectiveness is directly incorporated into the evolutionary operator.And the numerical results show that the algorithm is effective.
【关键词】 多目标优化;
约束处理;
进化算法;
微分进化算法;
【Key words】 multi-objective optimization; constraint handling; evolutionary algorithm; differential evolution algortithm;
【Key words】 multi-objective optimization; constraint handling; evolutionary algorithm; differential evolution algortithm;
- 【文献出处】 长春大学学报 ,Journal of Changchun University , 编辑部邮箱 ,2006年04期
- 【分类号】O221.6
- 【被引频次】11
- 【下载频次】600