摘要
给出非线性约束规划问题的一种新解法。把带约束的非线性规划问题转化成为两个目标的多目标优化问题,并为转化后的多目标优化模型设计了一种新型多目标遗传算法,数据实验表明该算法对带约束的非线性规划问题求解是非常有效的。
A new algorithm was given to solve the nonlinear constraint-programming problem. It was first converted into the multi-objective optimization problem. For the transformed problem, a novel multi-objective genetic algorithm is proposed. The numerical experiment shows that this algorithm is effective in dealing with the nonlinear constraint programming problem.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第5期756-757,801,共3页
Computer Engineering and Design
基金
国家自然科学基金项目(60374063)
关键词
非线性规划
约束规划
多目标遗传算法
nonlinear programming
constraint programming
multi-objective genetic algorithm
