A comparative study of CHN-MNC, GA and PSO for solving constraints satisfaction problems

Bouhouch, Adil and Loqman, Chakir and Bennis, Hamid and Qadi, Abderrahim El (2019) A comparative study of CHN-MNC, GA and PSO for solving constraints satisfaction problems. In: Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco.

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Abstract

Our approach CHN-MNC, based Continuous Hopfield neural network and Min-Conflict heuristic), have proved that is more efficient than using CHN alone to solve Constraints Satisfaction Problem (CSP). In This paper we study the performance of CHN-MNC by comparing it robustness with two evolutionary algo

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 12:08
Last Modified: 17 Apr 2026 14:28
URI: http://eprints.eai.eu/id/eprint/22936

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