摘要
论述解决多目标优化问题的若干解法,为了提高多目标优化算法的收敛性和求解精度,提出了一种分布估计的多目标优化算法。给出了3个典型的测试函数的pateto解集。通过4个测试函数测试,并与非劣排序多目标遗传算法(NSGA-Ⅱ)和规则模型分布估计算法(RM-MEDA)两个算法进行了比较。测试结果表明,该算法具有良好的收敛性和分布性,并且效果稳定。
Some methods for solving multi-objective optimization problems are discussed. In order to improve the convergence and accuracy of multi-objective optimization algorithm, a multi-objective optimization algorithm based on distribution estimation is proposed. 3 typical test functions of pateto-optimal sets were given. Through the 4 test functions, compared with the Nondominated Sorting Genetic Algorithm （NSGA-II） and Regularity Model-based Mul-tiobjective estimation of distribution algorithm （RM-MEDA）, the test results show that the algorithm has good convergence and distribution, and the effect is stable.
出处
《软件》
2017年第12期25-28,共4页
Software
基金
人工智能四川省重点实验室开放基金(2016RYJ03)
关键词
多目标优化
分布估计算法
收敛性
Multi-objective optimization
Estimation of distribution algorithm
Convergence
