Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Self-adaptive of Differential Evolution using Neural Network with Island Model of Genetic Algorithm Linköping University Electronic Press Conference Proceedings
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Title:
Self-adaptive of Differential Evolution using Neural Network with Island Model of Genetic Algorithm
Author:
Linh Tao: D. Functional Control System, Shibaura Institute of Technology, Japan Hieu Pham: National Institute of Patent and Technology Exploitation, Vietnam Hiroshi Hasegawa: D. Functional Control System, Shibaura Institute of Technology, Japan
DOI:
10.3384/ecp17142533
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
077
Pages:
533-539
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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A new evolutionary algorithm called NN-DEGA that using Arti?cial Neural Network (ANN) for Self-adaptive Differential Evolution (DE) with Island model of Genetic Algorithm (GA) is proposed to solve large scale optimization problems, to reduce calculation cost, and to improve stability of convergence towards the optimal solution. This is an approach that combines the global search ability of DE and the local search ability of Adaptive System with Island model of GA. The proposed algorithm incorporates concept from DE, GA, and Neural Networks (NN) for self-adaptive of control parameters. The NN-DEGA is applied to several benchmark tests with multi-dimensions to evaluate its performance. It is shown to be statistically signi?cantly superior to other Evolutionary Algorithms (EAs), and Memetic Algorithms (MAs).

Keywords: differential evolution, memetic algorithm, migration, neural network, parallel genetic algorithm

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Linh Tao, Hieu Pham, Hiroshi Hasegawa
Title:
Self-adaptive of Differential Evolution using Neural Network with Island Model of Genetic Algorithm
DOI:
http://dx.doi.org/10.3384/ecp17142533
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Linh Tao, Hieu Pham, Hiroshi Hasegawa
Title:
Self-adaptive of Differential Evolution using Neural Network with Island Model of Genetic Algorithm
DOI:
https://doi.org10.3384/ecp17142533
Note: the following are taken directly from CrossRef
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