A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy

Constrained many-objective optimization problems (CMaOPs) have gradually emerged in various areas and are significant for this field. These problems often involve intricate Pareto frontiers (PFs) that are both refined and uneven, thereby making their resolution difficult and challenging. Traditional...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:PeerJ Computer Science
المؤلفون الرئيسيون: Chen Ji, Linjie Wu, Tianhao Zhao, Xingjuan Cai
التنسيق: مقال
اللغة:الإنجليزية
منشور في: PeerJ Inc. 2024-07-01
الموضوعات:
Many-objective optimization
Evolutionary algorithm
Constraint handling
Dual-population
Easing strategy
الوصول للمادة أونلاين:https://peerj.com/articles/cs-2102.pdf

الانترنت

https://peerj.com/articles/cs-2102.pdf

مواد مشابهة