Solving initial and boundary value problems using learning automata particle swarm optimization
In this article, the particle swarm optimization (PSO) algorithm is modified to use the learning automata (LA) technique for solving initial and boundary value problems. A constrained problem is converted into an unconstrained problem using a penalty method to define an appropriate fitness function,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis Ltd.
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/56028/1/KouroshNemati2015_SolvingInitialandBoundaryValueProblemsUsingLearningAutomata.pdf http://eprints.utm.my/id/eprint/56028/ http://dx.doi.org/10.1080/0305215X.2014.914190 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |