Two reference vector sets based evolutionary algorithm for many‐objective optimization-Reference-Cited by-同舟云学术

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Two reference vector sets based evolutionary algorithm for many‐objective optimization

Published:2022-11-29 Issue: Volume: Page:
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Qin Cifeng¹,Ming Fei¹,Gong Wenyin¹^ORCID

Affiliation:

1. School of Computer Science China University of Geosciences Wuhan China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12399

Reference49 articles.

1. Many‐objective evolutionary algorithms: a survey;Li B.;ACM Comput. Surv.,2015

2. Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System

3. Nonlinear equations solving with intelligent optimization algorithms: a survey;Gong W.;Complex Syst. Model. Simul.,2021

4. MOEA/D: a multiobjective evolutionary algorithm based on decomposition;Zhang Q.;IEEE Trans. Evol. Comput.,2007

5. A survey of multiobjective evolutionary algorithms based on decomposition;Trivedi A.;IEEE Trans. Evol. Comput.,2017

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