Efficiency and robustness of three metaheuristics in the framework of structural optimization

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dc.contributor.author Lagaros, ND en
dc.contributor.author Charmpis, DC en
dc.date.accessioned 2014-03-01T02:46:46Z
dc.date.available 2014-03-01T02:46:46Z
dc.date.issued 2010 en
dc.identifier.issn 18684238 en
dc.identifier.uri http://hdl.handle.net/123456789/32837
dc.subject Differential Evolution en
dc.subject Harmony Search en
dc.subject Metaheuristics en
dc.subject Particle Swarm Optimization en
dc.subject Structural Optimization en
dc.subject.other Computing demands en
dc.subject.other Differential Evolution en
dc.subject.other Hardware and software en
dc.subject.other Harmony search en
dc.subject.other Meta heuristics en
dc.subject.other Metaheuristic optimization en
dc.subject.other Near-optimal solutions en
dc.subject.other Optimizers en
dc.subject.other Optimum designs en
dc.subject.other Overhead traveling crane en
dc.subject.other Particle swarm en
dc.subject.other Particle swarm optimization method en
dc.subject.other Real-world en
dc.subject.other Technological advances en
dc.subject.other Test runs en
dc.subject.other Artificial intelligence en
dc.subject.other Biology en
dc.subject.other Computer hardware en
dc.subject.other Cranes en
dc.subject.other Equipment testing en
dc.subject.other Heuristic algorithms en
dc.subject.other Particle swarm optimization (PSO) en
dc.subject.other Shape optimization en
dc.subject.other Structural design en
dc.subject.other Structural optimization en
dc.title Efficiency and robustness of three metaheuristics in the framework of structural optimization en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-16239-8_16 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-16239-8_16 en
heal.publicationDate 2010 en
heal.abstract Due to the technological advances in computer hardware and software tools, structural optimization has been gaining continuously increasing interest over the last two decades. The purpose of the present work is to quantitatively compare three metaheuristic optimization algorithms, namely the Differential Evolution, Harmony Search and Particle Swarm Optimization methods, in the framework of structural optimization. The comparison of the optimizers is performed with reference to their efficiency (overall computing demands) and robustness (capability to detect near-optimal solutions). The optimum design of a real-world overhead traveling crane is used as the test bed application for conducting optimization test runs. © 2010 IFIP. en
heal.journalName IFIP Advances in Information and Communication Technology en
dc.identifier.doi 10.1007/978-3-642-16239-8_16 en
dc.identifier.volume 339 AICT en
dc.identifier.spage 104 en
dc.identifier.epage 111 en

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