Weighted superposition attraction-repulsion (WSAR) algorithm for truss optimization with multiple frequency constraints
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Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Inc
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Structural optimization of truss structures under multiple frequency constraints is a highly nonlinear and complex optimization problem with non-convex solution space. The optimization method used to solve mentioned problem is expected to provide a very good balance between solution accuracy and computational cost. In this work, the Weighted Superposition Attraction-Repulsion (WSAR) algorithm, which is a recent swarm intelligence based metaheuristic algorithm, is proposed for effective solution of truss optimization problems with multiple natural frequency constraints. The effectiveness and robustness of the WSAR algorithm is studied by solving several planar/space truss structures optimization problems. The optimization results reveal that the successfulness and effectiveness of WSAR in solving truss optimization problems under multiple frequency constraints where WSAR is able to generate the best results in terms of optimized weight and standard deviation compared to the other state-of-the-art metaheuristic algorithms.
Description
Keywords
Weighted superposition attraction-repulsion algorithm, Meta-heuristics, Truss optimization, Optimal design, Frequency constraints
Journal or Series
Structures
WoS Q Value
Q2
Scopus Q Value
Q1
Volume
30
