Abstract
Process design requires the solution of mixed integer nonlinear programmes. Optimization procedures must be robust and efficient if they are to be incorporated in automated design systems. For heat integrated separation process design, a natural hybrid decomposition with these properties is possible. The decomposition is based on local search methods for the continuous design parameters for the processing units in the process and an evolutionary optimization procedure for the design of the heat exchanger network. A variety of local search methods are evaluated and it is shown that the Hooke & Jeeves algorithm, combined with a genetic algorithm, provides a robust, efficient solution method.
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Fraga, E.S., Žilinskas, A. (2002). Experience with Hybrid Evolutionary/local Optimization for Process Design. In: Parmee, I.C. (eds) Adaptive Computing in Design and Manufacture V. Springer, London. https://doi.org/10.1007/978-0-85729-345-9_5
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DOI: https://doi.org/10.1007/978-0-85729-345-9_5
Publisher Name: Springer, London
Print ISBN: 978-1-85233-605-9
Online ISBN: 978-0-85729-345-9
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