Heuristically Seeded Genetic Algorithms Applied to Truss Optimisation
โ Scribed by P. Ponterosso; D. S. J. Fox
- Publisher
- Springer
- Year
- 1999
- Tongue
- English
- Weight
- 191 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0177-0667
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Genetic algorithms are globally oriented in searching and thus potentially useful in solving optimisation problems in which the objective function responses contain multiple optima and other irregularities. The usefulness of genetic algorithms in calibrating environmental models was investigated in
Genetic algorithms, a search technique which combines Darwinian 'survival-of-the-fittest' with randomized well structured information, is applied to the problems of real-world truss optimization. In this work a population of binary strings or 'chromosomes', which represent the coded truss design var