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            <title xml:lang="en">Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimization</title>
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                <forename type="first">Nikos D.</forename>
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                <title xml:lang="en">Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimization</title>
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                  <date type="start">2010-10-06</date>
                  <date type="end">2010-10-07</date>
                  <settlement>Larnaca</settlement>
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                <editor>Harris Papadopoulos; Andreas S. Andreou; Max Bramer</editor>
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                <term xml:lang="en">Harmony Search</term>
                <term xml:lang="en">Differential Evolution</term>
                <term xml:lang="en">Metaheuristics</term>
                <term xml:lang="en">Structural Optimization</term>
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              <p>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.</p>
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