A multiobjective discrete combination optimization method for dynamics design of engineering structures

This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model. To address multiobjective optimiz...

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Vydané v:International journal of mechanical system dynamics Ročník 2; číslo 1; s. 108 - 116
Hlavní autori: Ding, Wenjie, Ji, Yanchen, Liao, Haitao, Fang, Daining
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Nanjing John Wiley & Sons, Inc 01.03.2022
Wiley
Predmet:
Algorithms
Combinatorial analysis
Design engineering
Design optimization
dynamic issue
Engineering
Hybrid composites
Laminates
multiobjective discrete optimization
Multiple objective analysis
Optimization
Particle swarm optimization
Penalty function
Resonant frequencies
stair‐form interpolation model
Trussed structures
Variables
Velocity
ISSN:2767-1402, 2767-1399, 2767-1402
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Abstract This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model. To address multiobjective optimization issues, a weighted average approach is implemented to convert the multiobjective optimization problem into an equivalent single‐objective optimization problem. Design constraints are taken into consideration by using the penalty function strategy. The proposed method is first verified with a 10‐bar truss structure design problem, where the cross‐sectional area of each bar is optimized to minimize both volume and node displacement. Second, the dynamic issue for hybrid composite laminates is investigated by maximizing the fundamental frequency and minimizing the cost. The results reveal that the optimized results generated by the proposed method agree well with those from other approaches.
AbstractList This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model. To address multiobjective optimization issues, a weighted average approach is implemented to convert the multiobjective optimization problem into an equivalent single‐objective optimization problem. Design constraints are taken into consideration by using the penalty function strategy. The proposed method is first verified with a 10‐bar truss structure design problem, where the cross‐sectional area of each bar is optimized to minimize both volume and node displacement. Second, the dynamic issue for hybrid composite laminates is investigated by maximizing the fundamental frequency and minimizing the cost. The results reveal that the optimized results generated by the proposed method agree well with those from other approaches.
Abstract This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model. To address multiobjective optimization issues, a weighted average approach is implemented to convert the multiobjective optimization problem into an equivalent single‐objective optimization problem. Design constraints are taken into consideration by using the penalty function strategy. The proposed method is first verified with a 10‐bar truss structure design problem, where the cross‐sectional area of each bar is optimized to minimize both volume and node displacement. Second, the dynamic issue for hybrid composite laminates is investigated by maximizing the fundamental frequency and minimizing the cost. The results reveal that the optimized results generated by the proposed method agree well with those from other approaches.
Author Ding, Wenjie
Ji, Yanchen
Liao, Haitao
Fang, Daining
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  organization: Beijing Institute of Technology
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CitedBy_id crossref_primary_10_1016_j_ijheatmasstransfer_2022_123324
crossref_primary_10_1109_TCSII_2023_3278324
crossref_primary_10_3390_cleantechnol7010023
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Abstract This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems. A discrete combinatorial...
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SubjectTerms Algorithms
Combinatorial analysis
Design engineering
Design optimization
dynamic issue
Engineering
Hybrid composites
Laminates
multiobjective discrete optimization
Multiple objective analysis
Optimization
Particle swarm optimization
Penalty function
Resonant frequencies
stair‐form interpolation model
Trussed structures
Variables
Velocity
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Title A multiobjective discrete combination optimization method for dynamics design of engineering structures
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