An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem-Reference-Cited by-同舟云学术

An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning
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Author:

Wang Mingjing¹^ORCID,Chen Long¹^ORCID,Chen Huiling²^ORCID

Affiliation:

1. Southeast University, China

2. Wenzhou University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3590003.3590103

Reference28 articles.

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3. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

4. Kalyanmoy Deb and Himanshu Jain . 2013. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I solving problems with box constraints . IEEE transactions on evolutionary computation 18, 4 ( 2013 ), 577–601. Kalyanmoy Deb and Himanshu Jain. 2013. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I solving problems with box constraints. IEEE transactions on evolutionary computation 18, 4 (2013), 577–601.

5. An objective reduction method based on advanced clustering for many-objective optimization problems and its human-computer interaction visualization of pareto front