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2014 | OriginalPaper | Buchkapitel

1. Metaheuristics in Process Engineering: A Historical Perspective

verfasst von : Prakash Shelokar, Abhijit Kulkarni, Valadi K. Jayaraman, Patrick Siarry

Erschienen in: Applications of Metaheuristics in Process Engineering

Verlag: Springer International Publishing

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Abstract

This chapter presents an overview of applications of metaheuristics to solve different real-world chemical process engineering problems over the last 30 years. The first part of this chapter describes some fundamental characteristics of metaheuristics, a class of global stochastic methods and also provides the standard description of some of the most widely used metaheuristics such as simulated annealing, tabu search, genetic algorithms, and ant colony optimization (ACO). In the second part, different practical applications of these metaheuristics related to chemical process industry are covered such as heat exchanger networks (HENs), short-term scheduling of batch processes, dynamic optimization of chemical and biochemical processes, parameter estimation, and multiobjective optimization with extensive list of references.

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Nächstes Kapitel Applications of Genetic Algorithms in Chemical Engineering I: Methodology
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Metadaten
Titel
Metaheuristics in Process Engineering: A Historical Perspective
verfasst von
Prakash Shelokar
Abhijit Kulkarni
Valadi K. Jayaraman
Patrick Siarry
Copyright-Jahr
2014
Buch
Applications of Metaheuristics in Process Engineering

Print ISBN: 978-3-319-06507-6

Electronic ISBN: 978-3-319-06508-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-06508-3_1

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