A MODIFICATION OF ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING INITIAL VALUE PROBLEMS

In this paper, some improvements have been made on Artificial Bee Colony (ABC) algorithm to get numerical solutions of both linear and nonlinear differential equations as initial value problems. The solutions are obtained by a feed-forward neural network trained by the modified ABC. Keywords: Initia...

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Bibliographic Details
Published inTWMS journal of applied and engineering mathematics Vol. 9; no. 4; p. 810
Main Authors Gunel, K, Gor, I
Format Journal Article
LanguageEnglish
Published Istanbul Turkic World Mathematical Society 01.01.2019
Elman Hasanoglu
Subjects
Algorithms
Artificial neural networks
Boundary value problems
Differential equations
Neural networks
Nonlinear differential equations
Nonlinear equations
Search algorithms
Swarm intelligence
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Summary:In this paper, some improvements have been made on Artificial Bee Colony (ABC) algorithm to get numerical solutions of both linear and nonlinear differential equations as initial value problems. The solutions are obtained by a feed-forward neural network trained by the modified ABC. Keywords: Initial Value Problems, Ordinary Differential Equations, Global Optimization, Artificial Bee Colony. AMS Subject Classification: 68T20, 68T05, 65L05
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2146-1147
2146-1147