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Engineering Optimization Approaches of Nonferrous Metallurgical Processes

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Book cover Optimization and Control Methods in Industrial Engineering and Construction

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 72))

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Abstract

The engineering optimization approaches arising in nonferrous metallurgical processes are developed to deal with the challenges in current nonferrous metallurgical industry including resource shortage, energy crisis and environmental pollution. The great difficulties in engineering optimization for nonferrous metallurgical process operation lie in variety of mineral resources, complexity of reactions, strong coupling and measurement disadvantages. Some engineering optimization approaches are discussed, including operational-pattern optimization, satisfactory optimization with soft constraints adjustment and multi-objective intelligent satisfactory optimization. As an engineering optimization case, an intelligent sequential operating method for a practical Imperial Smelting Process is illustrated. Considering the complex operating optimization for the Imperial Smelting Process, with the operating stability concerned, an intelligent sequential operating strategy is proposed on the basis of genetic programming (GP) adaptively designed, implemented as a multi-step state transferring procedure. The individuals in GP are constructed as a chain linked by a few relation operators of time sequence for a facilitated evolution with compact individuals. The optimal solution gained by evolution is a sequential operating program of process control, which not only ensures the tendency to optimization but also avoids violent variation by operating the parameters in ordered sequences. Industrial application data are given as verifications.

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Acknowledgments

The work mentioned in this chapter is supported by Nature Science Foundation of China (61104078), Foundation of State Education Ministry grant of China (20100162120019) and the Science and Technology Program of Hunan Province grant (2011CK3066).

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, China

    Xiaofang Chen & Honglei Xu

  2. Department of Mathematics and Statistics, Curtin University, Perth, Australia

    Honglei Xu

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  1. Xiaofang Chen
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  2. Honglei Xu
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Correspondence to Honglei Xu .

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Editors and Affiliations

  1. Dept of Mathematics & Statistics, Curtin University, Perth, West Australia, Australia

    Honglei Xu

  2. School of Built Environment, Curtin University, Perth, West Australia, Australia

    Xiangyu Wang

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Chen, X., Xu, H. (2014). Engineering Optimization Approaches of Nonferrous Metallurgical Processes. In: Xu, H., Wang, X. (eds) Optimization and Control Methods in Industrial Engineering and Construction. Intelligent Systems, Control and Automation: Science and Engineering, vol 72. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8044-5_7

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  • DOI: https://doi.org/10.1007/978-94-017-8044-5_7

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8043-8

  • Online ISBN: 978-94-017-8044-5

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