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http://dx.doi.org/10.13000/JFMSE.2017.29.2.544

An Comparative Study of Metaheuristic Algorithms for the Optimum Design of Structures  

RYU, Yeon-Sun (Pukyong National University)
CHO, Hyun-Man (Pukyong National University)
Publication Information
Journal of Fisheries and Marine Sciences Education / v.29, no.2, 2017 , pp. 544-551 More about this Journal
Abstract
Metaheuristic algorithms are efficient techniques for a class of mathematical optimization problems without having to deeply adapt to the inherent nature of each problem. They are very useful for structural design optimization in which the cost of gradient computation can be very expensive. Among them, the characteristics of simulated annealing and genetic algorithms are briefly discussed. In Metropolis genetic algorithm, favorable features of Metropolis criterion in simulated annealing are incorporated in the reproduction operations of simple genetic algorithm. Numerical examples of structural design optimization are presented. The example structures are truss, breakwater and steel box girder bridge. From the theoretical evaluation and numerical experience, performance and applicability of metaheuristic algorithms for structural design optimization are discussed.
Keywords
Metaheuristic algorithm; Optimum design; Genetic algorithm; Simulated annealing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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