Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer

This study presents a reliable particle swarm optimizer for sizing optimization of truss structures. This population-based stochastic optimization approach is based on the principle that each particle communicates its position and function value to a number of successively numbered neighboring parti...

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Main Authors: Tae-Hyoung Kim, Jung-In Byun
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/8/7/1087
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author Tae-Hyoung Kim
Jung-In Byun
author_facet Tae-Hyoung Kim
Jung-In Byun
author_sort Tae-Hyoung Kim
collection DOAJ
description This study presents a reliable particle swarm optimizer for sizing optimization of truss structures. This population-based stochastic optimization approach is based on the principle that each particle communicates its position and function value to a number of successively numbered neighboring particles via a fixed cyclic interaction structure. Therefore, such a neighborhood structure changes the movement pattern of the entire swarm, and allows each particle’s movement not to be driven by one global best particle position, which enhances the diversification attitude. Further, by transforming the objective function, it is possible to steer the search towards feasible regions of design space. The efficiency of the proposed approach is demonstrated by solving four classical sizing optimization problems of truss structures.
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spelling doaj.art-6e203d150ca14a169d426363ce792b192023-11-20T05:45:53ZengMDPI AGMathematics2227-73902020-07-0187108710.3390/math8071087Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm OptimizerTae-Hyoung Kim0Jung-In Byun1Department of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaDepartment of Mechanical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaThis study presents a reliable particle swarm optimizer for sizing optimization of truss structures. This population-based stochastic optimization approach is based on the principle that each particle communicates its position and function value to a number of successively numbered neighboring particles via a fixed cyclic interaction structure. Therefore, such a neighborhood structure changes the movement pattern of the entire swarm, and allows each particle’s movement not to be driven by one global best particle position, which enhances the diversification attitude. Further, by transforming the objective function, it is possible to steer the search towards feasible regions of design space. The efficiency of the proposed approach is demonstrated by solving four classical sizing optimization problems of truss structures.https://www.mdpi.com/2227-7390/8/7/1087particle swarm optimizationconstrained optimizationneighboring particle selectionneighborhood topologytruss sizing optimization
spellingShingle Tae-Hyoung Kim
Jung-In Byun
Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
Mathematics
particle swarm optimization
constrained optimization
neighboring particle selection
neighborhood topology
truss sizing optimization
title Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
title_full Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
title_fullStr Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
title_full_unstemmed Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
title_short Truss Sizing Optimization with a Diversity-Enhanced Cyclic Neighborhood Network Topology Particle Swarm Optimizer
title_sort truss sizing optimization with a diversity enhanced cyclic neighborhood network topology particle swarm optimizer
topic particle swarm optimization
constrained optimization
neighboring particle selection
neighborhood topology
truss sizing optimization
url https://www.mdpi.com/2227-7390/8/7/1087
work_keys_str_mv AT taehyoungkim trusssizingoptimizationwithadiversityenhancedcyclicneighborhoodnetworktopologyparticleswarmoptimizer
AT junginbyun trusssizingoptimizationwithadiversityenhancedcyclicneighborhoodnetworktopologyparticleswarmoptimizer