Volume 5, Issue 2 (3-2015)                   2015, 5(2): 241-254 | Back to browse issues page

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Abstract:   (5036 Views)
Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to deal with these problems. This paper presents an improved bat algorithm for optimizing large-scale structures. The capability of the algorithm is examined by comparing the resulting design parameters and structural weight with those of other methods from literature.
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Type of Study: Research | Subject: Optimal design
Received: 2015/04/1 | Accepted: 2015/04/1 | Published: 2015/04/1