Combination of interval analysis and PSO for optimization

DOI

10.2991/eusflat.2011.102How to use a DOI?

Keywords

Constrained optimization, interval analysis, particle swarm optimization.

Abstract

In this paper, a constrained optimization method for various functions such as non differentiable ones based on interval analysis is proposed. The process can be broken down into two distinct parts: the first one that approximates the space satisfying the constraints and the second one that is exclusively in charge of optimizing a given function. The first phase relies on successive bisections of the initial space while discarding the boxes that cannot verify the constraints. The last part of the algorithm is in charge of the unconstrained optimization using a Particle Swarm Optimization algorithm (commonly known as PSO).

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Clément Solau
AU  - Bruno Marhic
AU  - Arnaud Delahoche
AU  - Claude Clérentin
AU  - Anne-Marie Joly-Desodt
AU  - David Menga
PY  - 2011/08
DA  - 2011/08
TI  - Combination of interval analysis and PSO for optimization
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 978
EP  - 985
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.102
DO  - 10.2991/eusflat.2011.102
ID  - Solau2011/08
ER  -