A twin-archive guided decomposition based multi/many-objective evolutionary algorithm
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Title
A twin-archive guided decomposition based multi/many-objective evolutionary algorithm
Authors
Keywords
Decomposition, Evolutionary algorithm, Weight vector adaptation, Nadir point, Archive guided, Many objective
Journal
Swarm and Evolutionary Computation
Volume 71, Issue -, Pages 101082
Publisher
Elsevier BV
Online
2022-04-08
DOI
10.1016/j.swevo.2022.101082
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- (2020) Miqing Li et al. EVOLUTIONARY COMPUTATION
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- (2020) Lei Chen et al. EVOLUTIONARY COMPUTATION
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- (2020) Xiaoliang Ma et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
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- (2020) Charles Audet et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- ISDE+ - An Indicator for Multi and Many-objective Optimization
- (2018) Trinadh Pamulapati et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes
- (2017) Hisao Ishibuchi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
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- A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
- (2013) Shengxiang Yang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems
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- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
- (2013) Himanshu Jain et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
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