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Titlebook: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri; António Gaspar-Cunha,Jacques Periaux

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Reine Stoffe und ihre Benennungde available and the routes which are used to serve these locations. Each customer plays the role of a follower and decides where to collect his/her goods. An evolutionary algorithm involving the solution of several optimization problems is developed for approaching the Pareto front, whose performan
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https://doi.org/10.1007/978-3-8351-9047-4ned and the set of weight vectors are generated within the preference cone, we start a decomposition-based MOEA using the provided set of weights in its initialization. Therefore, this enforces the algorithm to converge to the ROI. The results show the benefit and adequacy of the preference cone MOE
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https://doi.org/10.1007/978-3-8351-9047-4oblem may include the minimization of the surface roughness, build time, need of supports, maximize of the part stability in building process or part accuracy, among others. In this paper, a multi-objective approach was applied to a computer-aided design model using MATLAB. multi-objective genetic a
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Symmetrie, Struktur und Eigenschaftens characterizing the process’ randomness until the failure and to modify that Functionability Profile by the optimal Maintenance strategy. An application case is presented, where several configurations of the elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) are used to optimize the multi-ob
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