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Structural topology optimization using ant colony optimization algorithm
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DOI：10.1016/j.asoc.2009.06.001.png)
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Abstract
En 中文
The ant colony optimization (ACO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the behavior of real ant colonies, is applied to problems of continuum structural topology design. An overview of the ACO algorithm is first described. A discretized topology design representation and the method for mapping ant's trail into this representation are then detailed. Subsequently, a modified ACO algorithm with elitist ants, niche strategy and memory of multiple colonies is illustrated. Several well-studied examples from structural topology optimization problems of minimum weight and minimum compliance are used to demonstrate its efficiency and versatility. The results indicate the effectiveness of the proposed algorithm and its ability to find families of multi-modal optimal design. (C) 2009 Elsevier B. V. All rights reserved.
Keywords:
Ant colony optimization algorithm
Continuum structural topology optimization
Elitist ants
Niche strategy
Multiple colonies
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