欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
约束优化问题是科学和工程应用领域经常会遇到的一类数学规划问题．近年来，约束优化问题求解已成为进化计算研究的一个重要方向．从约束优化进化算法=约束处理技术＋进化算法的研究框架出发，从约束处理技术和进化算法两个基本方面对约束优化进化算法的研究及进展进行了综述．此外，对约束优化进化算法中的一些重要问题进行了探讨．最后进行了各种算法的比较性总结，深入分析了目前约束优化进化算法中亟待解决的问题，并指出了值得进一步研究的方向。
英文摘要：
Constrained optimization problems （COPs） are mathematical programming problems frequently encountered in the disciplines of science and engineering application. Solving COPs has become an important research area of evolutionary computation in recent years. In this paper, the state-of-the-art of constrained optimization evolutionary algorithms （COEAs） is surveyed from two basic aspects of COEAs （i.e., constraint-handling techniques and evolutionary algorithms）. In addition, this paper discusses some important issues of COEAs. More specifically, several typical algorithms are analyzed in detail. Based on the analyses, it concluded that to obtain competitive results, a proper constraint-handling technique needs to be considered in conjunction with an appropriate search algorithm. Finally, the open research issues in this field are also pointed out.
同期刊论文项目
同项目期刊论文
A spatial orthogonal allocation and heterogeneous cultural hybrid algorithm for multi-robot explorat
Vision-based long-distance lane perception and front vehicle location for full autonomous vehicles o
A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant
Fault detection and identification for dead reckoning system of mobile robot based on fuzzy logic pa
Hybridizing particle swarm optimization with differential evolution for constrained numerical and en
Constrained Evolutionary Optimization by Means of (mu plus lambda)-Differential Evolution and Improv
Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization prob
Constrained optimization based on hybrid evolutionary algorithm and adaptive constraint-handling tec
期刊信息
位置：