A constrained many-objective evolutionary algorithm with learning vector quantization-based reference point adaptation-Reference-Cited by-同舟云学术

A constrained many-objective evolutionary algorithm with learning vector quantization-based reference point adaptation

Published:2023-10 Issue: Volume:82 Page:101359
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Wang Chao^ORCID,Huang Huitao,Pan Huimin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference47 articles.

1. Effective evolutionary algorithms for many-specifications attainment: Application to air traffic control tracking filters;Garcia;IEEE Trans. Evol. Comput.,2009

2. An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, Part II: Handling constraints and extending to an adaptive approach;Jain;IEEE Trans. Evol. Comput.,2014

3. A large-scale combinatorial many-objective evolutionary algorithm for intensity-modulated radiotherapy planning;Tian;IEEE Trans. Evol. Comput.,2022

4. Ensemble of constraint handling techniques;Mallipeddi;IEEE Trans. Evol. Comput.,2010

5. A many-objective evolutionary algorithm with diversity-first based environmental selection;Wang;Swarm Evol. Comput.,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy;PeerJ Computer Science;2024-07-22

2. A Dynamic Parameter Tuning Strategy for Decomposition-Based Multi-Objective Evolutionary Algorithms;Applied Sciences;2024-04-20

3. A negative selection algorithm with human-in-the-loop for anomaly detection;Journal of Intelligent & Fuzzy Systems;2024-04-18

4. Adaptive constraint handling technique selection for constrained multi-objective optimization;Swarm and Evolutionary Computation;2024-04