GLOBAL OPTIMIZATION OF TRUSSES WITH A MODIFIED GENETIC ALGORITHM

Author:

Šešok Dmitrij1,Belevičius Rimantas1

Affiliation:

1. Dept of Engineering Mechanics, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania

Abstract

In this paper, a technology enabling the optimization of the topology of truss or frame structures with genetic algorithms is presented. It has been shown that due to a huge number of possible variants the global solution of similar problems with exhaustive search algorithms is feasible only for systems possessing small numbers of d.o.f. s (usually until 10 nodes). These problems can be solved in a reasonable time by genetic algorithms. The modified genetic algorithm for optimization of topology of truss systems is suggested, where the repair of the genotype, instead of some constraint is used. The solution of numerical examples with original software illustrates the efficiency of proposed technology; the global solutions are obtained in all cases. Santrauka Straipsnyje aprašyta technologija, kuri leidžia optimizuoti strypinių sistemų (santvarų) topologiją genetiniais algoritmais. Parodyta, kad dėl milžiniško galimų variantų skaičiaus globalaus sprendinio radimas perrinkimo algoritmais tokio tipo uždaviniams yra įmanomas tik sistemoms su mažu laisvės laipsnių skaičiumi (paprastai iki 10 mazgų). Tokios klasės uždaviniai gali būti išspręsti per priimtiną laiką genetiniais algoritmais. Strypinių sistemų topologijai optimizuoti yra pasiūlytas modifikuotas genetinis algoritmas, kuriame vietoje papildomų apribojimų naudota genotipo išgryninimo operacija. Skaitinių pavyzdžių sprendimas su originalia programine įranga rodo pateiktos technologijos efektyvumą. Visais atvejais gaunamas globalus sprendinys.

Publisher

Vilnius Gediminas Technical University

Subject

Strategy and Management,Civil and Structural Engineering

Reference17 articles.

1. Design and optimization of steel trusses using genetic algorithms, parallel computing, and human-computer interaction

2. OPTIMIZATION OF ARCHITECTURAL LAYOUT BY THE IMPROVED GENETIC ALGORITHM

3. Bohnenberger, O., Hesser, J. and Manner, R. Automatic design of truss structures using evolutionary algorithms. Proc. of the 2nd IEEE International Conference on Evolutionary Computation ICEC'95, November 29‐December I, 1995, Perth, Australia. Perth. pp.143–149. IEEE Press.

4. Chapman, C., Saitou, K. and Jakiela, M. Genetic algorithms as an approach to configuration and topology design. Proc. of the 1993 ASME Design Automation Conference, September 19–22, Albuquerque, New Mexico. Albuquerque. Vol. 65(1, pp.485–498.

5. Goldberg, D. 1989.Genetic algorithms in search, optimization and machine learning, 412New York: Addison‐Wesley.

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimum Design and Tuning Applications in Structural Engineering via Swarm Intelligence;Studies in Computational Intelligence;2022-10-02

2. References;Metaheuristics for Structural Design and Analysis;2021-06-25

3. Developments on Metaheuristic-Based Optimization in Structural Engineering;Advances in Structural Engineering—Optimization;2020-12-05

4. Multi-objective topology optimization and structural analysis of periodic spaceframe structures;Materials & Design;2020-05

5. Introduction and State-of-the-Art Review of Optimum Design of Reinforced Concrete Structures;Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3