MOEA3H: Multi-objective evolutionary algorithm based on hierarchical decision, heuristic learning and historical environment
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation
Reference28 articles.
1. MOEA3D: a MOEA based on dominance and decomposition with probability distribution model;Hu;Soft Comput,2019
2. Investigating the effect of imbalance between convergence and diversity in evolutionary multiobjective algorithms;Liu;IEEE Trans Evol Comput,2017
3. Disturbed exploitation compact differential evolution for limited memory optimization problems;Neri;Inform Sci,2011
4. Balancing exploration and exploitation in multiobjective evolutionary optimization;Zhang;Inform Sci,2019
5. Evolutionary rate at the molecular level;Kimura;Nature,1968
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1. Dynamic multi-objective evolutionary optimization algorithm based on two-stage prediction strategy;ISA Transactions;2023-08
2. Intelligent identification of natural gas pipeline defects based on improved pollination algorithm;PLOS ONE;2023-07-27
3. MMOEA-SP: A multistage many-objective evolutionary algorithm based on sampling points;Knowledge-Based Systems;2022-06
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