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Authors: R. Toscano and P. Lyonnet

Affiliation: Université de Lyon, France

ISBN: 978-989-8425-31-7

Keyword(s): Geometric Programming (GP), Quasi Geometric Programming (QGP), Evolutionary Algorithm (EA), Interior point method.

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

Abstract: In this paper we introduce an extension of standard geometric programming (GP) problems which we call quasi geometric programming (QGP) problems. The consideration of this particular kind of nonlinear and possibly non smooth optimization problem is motivated by the fact that many engineering problems can be formulated as a QGP. However, solving a QGP remains a difficult task due to its intrinsic non-convex nature. This is why we investigate the possibility of using evolutionary algorithms (EA) for solving a QGP problem. The main idea developed in this paper is to combine evolutionary algorithms with interior point method for efficiently solving QGP problems. An interesting feature of the proposed approach is that it does not need to develop specific program solver and works well with any existing EA and available solver able to solve conventional GP. Some considerations on the robustness issue are also presented. Numerical experiments are used to validate the proposed method.

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Paper citation in several formats:
Toscano, R. and Lyonnet, P. (2010). EVOLUTIONARY ALGORITHMS FOR SOLVING QUASI GEOMETRIC PROGRAMMING PROBLEMS.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 163-169. DOI: 10.5220/0003071901630169

@conference{icec10,
author={R. Toscano. and P. Lyonnet.},
title={EVOLUTIONARY ALGORITHMS FOR SOLVING QUASI GEOMETRIC PROGRAMMING PROBLEMS},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={163-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003071901630169},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - EVOLUTIONARY ALGORITHMS FOR SOLVING QUASI GEOMETRIC PROGRAMMING PROBLEMS
SN - 978-989-8425-31-7
AU - Toscano, R.
AU - Lyonnet, P.
PY - 2010
SP - 163
EP - 169
DO - 10.5220/0003071901630169

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