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Natural Computing

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

  • 18-07-2016
Published in:
Authors
Jinliang Ding
Yaochu Jin
Published in
Natural Computing | Issue 4/2019

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Excerpt

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 Due to the above challenges, many mathematical programming techniques may no longer applicable.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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next article A proactive scheduling approach to steel rolling process with stochastic machine breakdown
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

Other articles of this Issue 4/2019

State-efficient realization of fault-tolerant FSSP algorithms

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An overview of quantum cellular automata

On an integrated approach to resilient transportation systems in emergency situations

An enhanced genetic algorithm for constrained knapsack problems in dynamic environments

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