摘要
阐述在实现多个目标时,这些目标通常是相互冲突的,而且受到诸多条件的限制。通过一种基于双种群双阶段的算法,结合两种不同约束松弛技术,解决具有复杂约束的多目标优化问题。
This paper expounds that when achieving multiple goals, these goals are usually conflicting and restricted by many conditions. The multi-objective optimization problem with complex constraints is solved by a two-population and two-stage algorithm combined with two different constraint relaxation techniques.
作者
王昱博
WANG Yubo(Computer College of China University of Geosciences(Wuhan),Hubei 430074,China.)
出处
《电子技术（上海）》
2023年第1期64-66,共3页
Electronic Technology
关键词
约束多目标
约束松弛
双种群双阶段算法
constrained multi-objective
constrained relaxation
two-population two-stage algorithm
