Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness-Reference-Cited by-同舟云学术

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness

Published:2023-07-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Liefooghe Arnaud¹^ORCID,Ochoa Gabriela²^ORCID,Verel Sébastien³^ORCID,Derbel Bilel¹^ORCID

Affiliation:

1. Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France

2. University of Stirling, Stirling, FK9 4LA, United Kingdom

3. Université du Littoral Côte d'Opale, LISIC, F-62100 Calais, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583131.3590474

Reference34 articles.

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3. Carlos A. Coello Coello, Gary B. Lamont, and David A. Van Veldhuizen. 2007. Evolutionary Algorithms for Solving Multi-Objective Problems (second ed.). Springer.

4. Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán E. Aguirre, and Kiyoshi Tanaka. 2017. Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes. Evolutionary Computation 25, 4 (2017).

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