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.
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