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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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 |
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TJ212 Control engineering |
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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 |
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. |
format |
Article |
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 |
title |
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_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_sort |
performance comparison of differential evolution and particle swarm optimization in constrained optimization |
publisher |
Elsevier |
publishDate |
2012 |
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 |
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2023-09-18T20:38:10Z |
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2023-09-18T20:38:10Z |
_version_ |
1777409186112471040 |