Performance comparison of differential evolution and particle swarm optimization in constrained optimization

Optimization appears in many aspects of engineering problems. There are quite numbers of modern optimization algorithms proposed in the last two decades to solve optimization problems. Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization alg...

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Main Authors: Iwan, Mahmud, Akmeliawati, Rini, Faisal, Tarig, Al-Assadi, Hayder M.A.A.
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
Online Access:http://irep.iium.edu.my/25611/
http://irep.iium.edu.my/25611/1/procedia_iwan2012.pdf
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author Iwan, Mahmud
Akmeliawati, Rini
Faisal, Tarig
Al-Assadi, Hayder M.A.A.
author_facet Iwan, Mahmud
Akmeliawati, Rini
Faisal, Tarig
Al-Assadi, Hayder M.A.A.
author_sort Iwan, Mahmud
building IIUM Repository
collection Online Access
description Optimization appears in many aspects of engineering problems. There are quite numbers of modern optimization algorithms proposed in the last two decades to solve optimization problems. Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. This paper presents a comparative study for min-max constrained optimization using PSO and DE. Here, the constrained optimization is represented by some selected standard benchmark functions. A new constraint handling and stopping criterion technique is also adopted in the optimization algorithm. Generally, in terms of repeatability and the quality of the obtained solutions, DE outperforms PSO.
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spelling iium-256112012-08-28T04:44:09Z http://irep.iium.edu.my/25611/ Performance comparison of differential evolution and particle swarm optimization in constrained optimization Iwan, Mahmud Akmeliawati, Rini Faisal, Tarig Al-Assadi, Hayder M.A.A. TJ212 Control engineering Optimization appears in many aspects of engineering problems. There are quite numbers of modern optimization algorithms proposed in the last two decades to solve optimization problems. Particle swarm optimization (PSO) and differential evolution (DE) are among the well-known modern optimization algorithms. This paper presents a comparative study for min-max constrained optimization using PSO and DE. Here, the constrained optimization is represented by some selected standard benchmark functions. A new constraint handling and stopping criterion technique is also adopted in the optimization algorithm. Generally, in terms of repeatability and the quality of the obtained solutions, DE outperforms PSO. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25611/1/procedia_iwan2012.pdf Iwan, Mahmud and Akmeliawati, Rini and Faisal, Tarig and Al-Assadi, Hayder M.A.A. (2012) Performance comparison of differential evolution and particle swarm optimization in constrained optimization. Procedia Engineering, 41. pp. 1323-1328. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812027178 doi:10.1016/j.proeng.2012.07.317
spellingShingle TJ212 Control engineering
Iwan, Mahmud
Akmeliawati, Rini
Faisal, Tarig
Al-Assadi, Hayder M.A.A.
Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title_full Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title_fullStr Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title_full_unstemmed Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title_short Performance comparison of differential evolution and particle swarm optimization in constrained optimization
title_sort performance comparison of differential evolution and particle swarm optimization in constrained optimization
topic TJ212 Control engineering
url http://irep.iium.edu.my/25611/
http://irep.iium.edu.my/25611/
http://irep.iium.edu.my/25611/
http://irep.iium.edu.my/25611/1/procedia_iwan2012.pdf