返回
A multitype constraint handling evolutionary algorithm for constrained multiobjective optimization problems
DOI:10.1016/j.swevo.2026.102303.png)
摘要
En 中文
• Classifies CMOPs into weak, moderate, and strong constraint types. • Different handling methods have been chosen for different types of problems. • Randomly select constraints to form sparse populations for multi-constraint problems.
期刊
IF:
8.5
论文数:
2.2K
被引数:
1.0W
机构
引用论文
Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives通过同时松弛约束和目标函数的约束多目标优化
Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach多目标进化算法: 比较案例研究和强度帕累托方法

