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25th KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES)

作者： Ayadi, Zouhayra Boulila, Wadii Farah, Imed Riadh Univ Manouba Natl Sch Comp Sci RIADI Lab Manouba 2010 Tunisia Univ Strasbourg ICube Lab F-67412 Strasbourg France Taibah Univ Coll Comp Sci & Engn IS Dept Medina 42353 Saudi Arabia

Constraint satisfaction problem (CSP) has been actively used for modeling and solving a wide range of complex real-world problems. However, it has been proven that developing efficient methods for solving CSP, especially for large problems, is very difficult and challenging. Existing complete methods for problem-solving are in most cases unsuitable. Therefore, proposing hybrid CSP-based methods for problem-solving has been of increasing interest in the last decades. This paper aims at proposing a novel approach that combines incomplete and complete CSP methods for problem-solving. The proposed approach takes advantage of the group search algorithm (gso) and the constraint propagation (CP) methods to solve problems related to the remote sensing field. To the best of our knowledge, this paper represents the first study that proposes a hybridization between an improved version of gso and CP in the resolution of complex constraint-based problems. Experiments have been conducted for the resolution of object recognition problems in satellite images. Results show good performances in terms of convergence and running time of the proposed CSP-based method compared to existing state-of-the-art methods. (C) 2021 The Authors. Published by Elsevier B.V.

关键词： Constraint Satisfaction Problem (CSP) Constraint propagation (CP) group search algorithm gso hybrid resolution

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

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Procedia Computer Science 2021年 192卷 3403-3412页

作者： Zouhayra Ayadi Wadii Boulila Imed Riadh Farah RIADI Laboratory National School of Computer Science University of Manouba Manouba 2010 Tunisia ICube Laboratory University of Strasbourg Strasbourg 67412 France IS Department College of Computer Science and Engineering Taibah University Medina 42353 Saudi Arabia

关键词： Constraint Satisfaction Problem (CSP) Constraint propagation (CP) group search algorithm gso hybrid resolution

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