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Authors: Sadok Bouamama and Khaled Ghédira

Affiliation: SOIE/University of Tunis, Tunisia

ISBN: 972-8865-29-5

Keyword(s): Constraint satisfaction and optimization problems, multi-agent systems, genetic algorithms, Min-conflict-heuristic, guidance operator.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Distributed Control Systems ; Evolutionary Computation and Control ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Soft Computing

Abstract: Within the framework of Constraint satisfaction and optimization problem (CSOP), we introduce a new optimization distributed method based on Genetic Algorithms (GA). This method consists of agents dynamically created and cooperating in order to solve the problem. Each agent performs its own GA on its own sub-population. This GA is sometimes random and sometimes guided by both the template concept and by the Min-conflict-heuristic. In addition with guidance, our approach is based on NEO-DARWINISM theory and on the nature laws. In fact, by reference to their specificity the new algorithm will let the agents able to count their own GA parameters. In order to show D3G2A advantages, experimental comparison with GGA is provided by their application on the large processors configuration problem.

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Paper citation in several formats:
Bouamama S.; Ghédira K. and (2005). D3G2A: A DYNAMIC DISTRIBUTED DOUBLE GUIDED GENETIC ALGORITHM FOR THE CASE OF THE PROCESSORS CONFIGURATION PROBLEM.In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 242-247. DOI: 10.5220/0001181102420247

@conference{icinco05,
author={Sadok Bouamama and Khaled Ghédira},
title={D3G2A: A DYNAMIC DISTRIBUTED DOUBLE GUIDED GENETIC ALGORITHM FOR THE CASE OF THE PROCESSORS CONFIGURATION PROBLEM},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001181102420247},
isbn={972-8865-29-5},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - D3G2A: A DYNAMIC DISTRIBUTED DOUBLE GUIDED GENETIC ALGORITHM FOR THE CASE OF THE PROCESSORS CONFIGURATION PROBLEM
SN - 972-8865-29-5
AU - Bouamama, S.
AU - Ghédira, K.
PY - 2005
SP - 242
EP - 247
DO - 10.5220/0001181102420247

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