A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization-Reference-Cited by-同舟云学术

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A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization

Published:2024-06 Issue: Volume:87 Page:101581
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Wang Qiuzhen,Li Yanhong^ORCID,Hou Zhanglu,Zou Juan,Zheng Jinhua

Publisher

Elsevier BV

Reference56 articles.

1. Multi-objective location-routing model for hazardous material logistics with traffic restriction constraint in inter-city roads;Hu;Comput. Ind. Eng.,2019

2. Constrained multi-objective wind farm layout optimization: Novel constraint handling approach based on constraint programming;Sorkhabi;Renew. Energy,2018

3. A multi-preference-based constrained multi-objective optimization algorithm;Feng;Swarm Evol. Comput.,2023

4. Constrained multi-objective evolutionary algorithm;Deb,2019

5. Algorithms, Multi-objective Optimization Using Evolutionary;Deb,2001

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1. A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges;Drones;2024-07-11

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