Evolutionary Algorithms in Engineering Design Optimization
Greiner, David
Format: Hardcover
Publisher: Mdpi AG
ISBN: 9783036527147
Evolutionary algorithms are population-based global optimizers that search for solutions without requiring the objective function to be continuous, differentiable, or convex, and they can handle discrete or mixed variables as well as several objectives at once. This volume gathers work on applying these methods to real engineering design problems, with contributions spanning fields such as aerospace, civil, mechanical, energy, robotics, and structural engineering. It also covers algorithmic refinements such as parallel evolutionary algorithms, surrogate modelling, hybridization with other optimization techniques, and multi-objective and many-objective approaches. It will be of interest to engineers, researchers, and students working on optimization in design practice.
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