Scalable benchmarks and performance measures for dynamic multi-objective optimization-Reference-Cited by-同舟云学术

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Scalable benchmarks and performance measures for dynamic multi-objective optimization

Published:2024-07 Issue: Volume:159 Page:111600
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sun Baiqing,Zhang Changsheng^ORCID,Zhao Haitong,Yu Zhang

Publisher

Elsevier BV

Reference63 articles.

1. Multi-objective optimization for improved project management: Current status and future directions;Guo;Autom. Constr.,2022

2. Effects of decision models on dynamic multi-objective optimization algorithms for financial markets;Atiah,2019

3. Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures;Afshari;Appl. Soft Comput.,2019

4. Robust, multi-objective optimization for the military medical evacuation location-allocation problem;Jenkins;Omega,2020

5. Evolutionary dynamic multi-objective optimisation: A survey;Jiang;ACM Comput. Surv.,2022

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