Titlebook: Evolutionary Multi-Criterion Optimization; Third International Carlos A. Coello Coello,Arturo Hernández Aguirre,E Conference proceedings 2

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Many-Objective Optimization: An Engineering Design Perspective often be conveniently formulated as multiobjective optimization problems, these often comprise a relatively large number of objectives. Such problems pose new challenges for algorithm design, visualisation and implementation. Each of these three topics is addressed. Progressive articulation of desi

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An EMO Algorithm Using the Hypervolume Measure as Selection Criterions (EMOA). The idea to use this measure for selection is self-evident. A steady-state EMOA will be devised, that combines concepts of non-dominated sorting with a selection operator based on the hypervolume measure. The algorithm computes a well distributed set of solutions with bounded size thereby

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