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Natural Computing

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18-07-2016

To the special Issue on “Metaheuristics for optimization of complex process engineering”

Authors: Jinliang Ding, Yaochu Jin

Published in: Natural Computing | Issue 4/2019

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Most modern large-scale complex industrial processes are characterized by multiple conflicting objectives and large amount of uncertainties. Sometimes such processes contain multi-level or multi-stage sub-processes, in which both discrete and continuous decision variables are present. In addition, quality evaluations of such systems may involve computationally very intensive calculations such as finite element analysis. Due to the above challenges, many mathematical programming techniques may no longer applicable. Metaheuristics have shown to be powerful in solving a wide range of global optimization problems. Unfortunately, most recently developed metaheuristics have been tested only on benchmark problems. …

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Title: To the special Issue on “Metaheuristics for optimization of complex process engineering”
Authors: Jinliang Ding
Yaochu Jin
Publication date: 18-07-2016
Publisher: Springer Netherlands
Published in: Natural Computing / Issue 4/2019
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI: https://doi.org/10.1007/s11047-016-9578-x

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