title: |
Combination of interval analysis and PSO for optimization |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 978 - 985 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Cl¨¦ment Solau |
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publication date: |
July 2011 |
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keywords: |
Constrained optimization, interval analysis,
particle swarm optimization. |
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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). |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |