Many-objective optimization with dynamic constraint handling for constrained optimization problems

作者：Li, Xi; Zeng, Sanyou^*; Li, Changhe^*; Ma, Jiantao

来源：Soft Computing, 2017, 21(24): 7435-7445.

DOI：10.1007/s00500-016-2286-8

• Constrained optimization
• Many-objective optimization
• Dynamic constraint optimization
• Reference-point-based nondominated sorting

In real-world applications, the optimization problems are usually subject to various constraints. To solve constrained optimization problems (COPs), this paper presents a new methodology, which incorporates a dynamic constraint handling mechanism into many-objective evolutionary optimization. Firstly we convert a COP into a dynamic constrained many-objective optimization problem (DCMaOP), which is equivalent to the COP, then the proposed many-objective optimization evolutionary algorithm with dynamic constraint handling, called MaDC, is realized to solve the DCMaOP. MaDC uses the differential evolution (DE) to generate individuals, and a reference-point-based nondominated sorting approach to select individuals. The effectiveness of MaDC is verified on 22 test instances. The experimental results show that MaDC is competitive to several state-of-the-art algorithms, and it has better global search ability than its peer algorithms.

• 出版日期2017-12
• 单位中国地质大学（北京）; 河北地质大学