Handling constrained many-objective optimization problems via problem transformation

• المؤلفون الرئيسيون: Jiao, Ruwang, Zeng, Sanyou, Li, Changhe, Yang, Shengxiang, Ong, Yew-Soon
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Constrained Optimization; Evolutionary Computation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159938

Objectives optimization and constraints satisfaction are two equally important goals to solve constrained many-objective optimization problems (CMaOPs). However, most existing studies for CMaOPs can be classified as feasibility-driven-constrained many-objective evolutionary algorithms (CMaOEAs), and...