Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimization

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.
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Harris Papadopoulos; Andreas S. Andreou; Max Bramer. 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI), Oct 2010, Larnaca, Cyprus. Springer, IFIP Advances in Information and Communication Technology, AICT-339, pp.104-111, 2010, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-16239-8_16〉
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Nikos D. Lagaros, Dimos C. Charmpis. Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimization. Harris Papadopoulos; Andreas S. Andreou; Max Bramer. 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI), Oct 2010, Larnaca, Cyprus. Springer, IFIP Advances in Information and Communication Technology, AICT-339, pp.104-111, 2010, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-16239-8_16〉. 〈hal-01060657〉

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