In this paper we study the performance of two stochastic search methods: Genetic Algorithms and Simulated Annealing, applied to the optimization of pin-jointed steel bar structures. We show that it is possible to embed these two schemes into a single parametric family of algorithms, and that optimal
β¦ LIBER β¦
Solving geometric constraints with genetic simulated annealing algorithm
β Scribed by Liu Sheng-Li; Tang Min; Dong Jin-Xiang
- Book ID
- 111839973
- Publisher
- SP Zhejiang University Press
- Year
- 2003
- Tongue
- English
- Weight
- 756 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1009-3095
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Genetic algorithms and simulated annealing are leading methods of search and optimization. This paper proposes an efficient hybrid genetic algorithm named ASAGA (Adaptive Simulated Annealing Genetic Algorithm). Genetic algorithms are global search techniques for optimization. However, they are poor