A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing

Author:

Ayadi Zouhayra,Boulila Wadii,Farah Imed Riadh

Publisher

Elsevier BV

Subject

General Engineering

Reference49 articles.

1. Bidar, M., Mouhoub, M., & Sadaoui, S. (2020). Discrete FGO Algorithm for Solving CSP. In ICAART (2) (pp. 322-330).

2. N. Dali, & S. Bouamama, (2018), ”New parallel Genetic Algorithms on GPU for solving Max-CSPs” In 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) IEEE, 119-126.

3. An improved ACO with an automatic updating mechanism for constraint satisfaction problems;Guan;Expert Systems with Applications,2021

4. “Microarray gene expression and multiclass cancer classification using extreme learning machine (elm) with refined group search optimizer (rgso)”;Balakrishnan;Int Sci J Sci Eng Technol,2019

5. “An improved intelligent algorithm based on the group search algorithm and the artificial fish swarm algorithm”;Wang;International Journal of Optimisation in Civil Engineering,2015

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