Solving initial and boundary value problems using learning automata particle swarm optimization

• Main Authors: Nemati, Kourosh, Shamsuddin, Siti Mariyam, Darus, M.
• Format: Article
• Language: English
• Published: Taylor and Francis Ltd. 2015
• Subjects: QA75 Electronic computers. Computer science
• 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
• Institution: Universiti Teknologi Malaysia

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,...