A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization
Authors:
- Shuai WangSWShuai Wang
- Hui WangHWHui Wang
- Zichen WeiZWZichen Wei
- Feng WangFWFeng Wang
- Qingling ZhuQZQingling Zhu
- Jia ZhaoJZJia Zhao
- Zhihua CuiZCZhihua Cui
Top Cited Papers
- 20 March 2024
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 157
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- Jiangxi Provincial Natural Science Foundation
This publication has 43 references indexed in Scilit:
- An improved two-archive artificial bee colony algorithm for many-objective optimizationExpert Systems with Applications, 2023
- An improved many-objective artificial bee colony algorithm for cascade reservoir operationNeural Computing and Applications, 2023
- A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimizationExpert Systems with Applications, 2022
- A two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominanceInternational Journal of Intelligent Systems, 2022
- A C-dominance-based solution estimation evolutionary algorithm for many-objective optimizationKnowledge-Based Systems, 2022
- A many-objective evolutionary algorithm with reference points-based strengthened dominance relationInformation Sciences, 2021
- Multi-Objective Weight Optimization for Trajectory Planning of an Airplane with Structural DamageJournal of Intelligent & Robotic Systems, 2017
- Effectiveness and efficiency of non-dominated sorting for evolutionary multi- and many-objective optimizationComplex & Intelligent Systems, 2017
- A benchmark test suite for evolutionary many-objective optimizationComplex & Intelligent Systems, 2017
- Modified Distance Calculation in Generational Distance and Inverted Generational Distance2015