Summary of Research on Multi-Objective Optimization Problems

Songlin Yin ； Fei Tan ； Maohua Yang

《International Core Journal of Engineering》 7卷11期 (2021/11) Pp. 191-196

https://doi.org/10.6919/ICJE.202111_7(11).0032

摘要

Multi-objective optimization problems exist everywhere in life, and solving these problems can bring many benefits to society. Multi-objective optimization is to optimize all the objective functions in the problem, but in general, there is a little conflict between these objective functions, so it is difficult to achieve multi-objective optimization. So far, many experts and scholars have carried out research on multi-objective optimization problems and have achieved a series of results. This article starts from the basic description of multi-objective optimization problems and the research status so far. There are many methods to solve multi-objective optimization problems, such as objective optimization method. Such traditional methods as well as intelligent algorithms such as particle swarm optimization and differential evolution algorithm provide a comprehensive overview of multi-objective optimization problems.

關鍵字

Multi-objective optimization ； intelligent algorithm ； traditional optimization method

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