摘要
提出了一种求解多目标规划问题的改进模拟退火算法。该算法基于多目标规划的Pareto最优解特征提出了一种新的能量差计算方法,并利用外部存档储存每一代产生的Pareto最优解,通过预设迭代次数,使近似Pareto最优解不断逼近精确最优解。最后,通过数值实验验证算法的可行性和有效性。
In this paper, an improved SA is presented for solving muhiobjective new method for computing energy difference is proposed and the external file approximate Pareto optimal solutions for muhiobjective programming problem is This interactive procedure is repeated until the accurate Pareto optimal solutions The experimental results show that the proposed algorithm is a feasible muhiobjective programming problems. programming problems, in which a technology is used. And a set of obtained using the elite strategy. of the original problem are found. and efficient method for solving
出处
《武汉工业学院学报》
CAS
2013年第2期74-76,共3页
Journal of Wuhan Polytechnic University
关键词
多目标规划
PARETO最优解
模拟退火算法
精英策略
Multiobjective programming
Simulated annealing algorithm
Pareto optimal solution
External file
