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OPTIMIZATION OF SKELETAL STRUCTURES USING A HYBRIDIZED ANT COLONY-HARMONY SEARCH- GENETIC ALGORITHM | ||
| Iranian Journal of Science and Technology Transactions of Civil Engineering | ||
| شناسنامه علمی شماره، دوره 38، C1، اردیبهشت 2014، صفحه 1-20 اصل مقاله (401.16 K) | ||
| شناسه دیجیتال (DOI): 10.22099/ijstc.2014.1840 | ||
| چکیده | ||
| Ant Colony Optimization (ACO) has been used as one of the popular meta-heuristic algorithms in structural optimization. In this algorithm, the selected cross sections are chosen according to a parameter called “probability ratio”. This parameter and the way to choose the cross sections from a list of cross sections, are the most important points in the optimization process. Though the Ant Colony algorithm has a special ability in achieving the optimal point, in some cases in order to avoid local optima, the utilization of special techniques is needed. In the present paper, the first aim is to use Harmony Search (HS) algorithm to increase the local search ability of the ACO. In this way a combined algorithm, denoted by HACOHS, is obtained with special abilities to achieve a global optimum. For this purpose, optimal design of skeletal structures such as trusses and steel frames is considered using the HACOHS. However, in the process of optimization by HACOHS method, several GA selections are employed at the cross section selection stage. Utilizing the Tournament (HACOHS-T), Roulette wheel (HACOHS-Ro), and Rank (HACOHS-Ra) methods it is found that the HACOHS-T is the most efficient of these algorithms for optimal design of skeletal structures. | ||
| کلیدواژهها | ||
| Optimization؛ ant colony algorithm؛ harmony search؛ Genetic Algorithm؛ skeletal structures | ||
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