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Details van artikel 159 van 219 gevonden artikelen
| Titel: |
OPTIMAL STRUCTURAL DESIGN BY ANT COLONY OPTIMIZATION |
| Auteur: |
Bland, J. A. |
| Verschenen in: |
Engineering optimization |
| Paginering: | Jaargang 33 (2001) nr. 4 pagina's 425-443 |
| Jaar: |
2001-04-01 |
| Inhoud: |
Ant colony optimization (ACO) is a relatively new heuristic combinatorial optimization algorithm in which the search process is a stochastic procedure that incorporates positive feedback of accumulated information. The positive feedback (;i.e., autocatalysis) facility is a feature of ACO which gives an emergent search procedure such that the (common) problem of algorithm termination at local optima may be avoided and search for a global optimum is possible. The ACO algorithm is motivated by analogy with natural phenomena, in particular, the ability of a colony of ants to 'optimize' their collective endeavours. In this paper the biological background for ACO is explained and its computational implementation is presented in a structural design context. The particular implementation of ACO makes use of a tabu search (TS) local improvement phase to give a computationally enhanced algorithm (ACOTS). In this paper ACOTS is applied to the optimal structural design, in terms of weight minimization, of a 25-bar space truss. The design variables are the cross-sectional areas of the bars, which take discrete values. Numerical investigation of the 25-bar space truss gave the best (i.e., lowest to-date) minimum weight value. This example provides evidence that ACOTS is a useful and technically viable optimization technique for discrete-variable optimal structural design. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 159 van 219 gevonden artikelen
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