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An Enhanced Particle Swarm Optimization Algorithm for Design Problem
In this work, particle swarm optimization (PSO) algorithm is improved, called EnPSO, for design truss system. First, a factor is added into PSO to create two phases (local and global search). A distribution function using Lévy flights is employed to exploit the narrow search space. The results obtained from investigations of EnPSO algorithm are compared with several well-known candidates and original. Finally, a structure with multi-loading consisting of two constraints is designed to validate the accuracy of this method.
An Enhanced Particle Swarm Optimization Algorithm for Design Problem
In this work, particle swarm optimization (PSO) algorithm is improved, called EnPSO, for design truss system. First, a factor is added into PSO to create two phases (local and global search). A distribution function using Lévy flights is employed to exploit the narrow search space. The results obtained from investigations of EnPSO algorithm are compared with several well-known candidates and original. Finally, a structure with multi-loading consisting of two constraints is designed to validate the accuracy of this method.
An Enhanced Particle Swarm Optimization Algorithm for Design Problem
Lecture Notes in Civil Engineering
Cuong, Le Thanh (editor) / Gandomi, Amir H. (editor) / Abualigah, Laith (editor) / Khatir, Samir (editor) / Sang-To, Thanh (author) / Hoang-Le, Minh (author) / Danh-Tran, Thanh (author) / Vi-Huynh, The (author) / Cuong-Le, Thanh (author)
International Conference on Structural Health Monitoring and Engineering Structures ; 2023 ; Da Nang city, Vietnam
Recent Advances in Structural Health Monitoring and Engineering Structures ; Chapter: 63 ; 685-692
2024-06-02
8 pages
Article/Chapter (Book)
Electronic Resource
English
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