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By Slawomir Koziel, Xin-She Yang. Computational optimization is an important paradigm with a wide range of applications. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems.
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