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  • © 2014

Applications of Metaheuristics in Process Engineering

  • Emphasis on application of heuristic methods

  • Content characterized by an emphasis on solving real-world problem

  • Contributing authors among leading experts in this area

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiii
  2. Metaheuristics in Process Engineering: A Historical Perspective

    • Prakash Shelokar, Abhijit Kulkarni, Valadi K. Jayaraman, Patrick Siarry
    Pages 1-38
  3. Applications of Genetic Algorithms in Chemical Engineering I: Methodology

    • Santosh K. Gupta, Manojkumar Ramteke
    Pages 39-59
  4. Applications of Genetic Algorithms in Chemical Engineering II: Case Studies

    • Santosh K. Gupta, Manojkumar Ramteke
    Pages 61-87
  5. Swarm Intelligence in Pulp and Paper Process Optimization

    • Tarun Kumar Sharma, Millie Pant
    Pages 123-151
  6. Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors

    • Sarvesh Nikumbh, Shameek Ghosh, Valadi K. Jayaraman
    Pages 201-216
  7. In silico Maturation: Processing Sequences to Improve Biopolymer Functions Based on Genetic Algorithms

    • Nasa Savory, Koichi Abe, Wataru Yoshida, Kazunori Ikebukuro
    Pages 271-288
  8. Applications of Genetic Algorithms in QSAR/QSPR Modeling

    • N. Sukumar, Ganesh Prabhu, Pinaki Saha
    Pages 315-324
  9. Genetic Algorithms in Drug Design: A Not-So-Old Story in a Newer Bottle

    • Subhabrata Sen, Sudeepto Bhattacharya
    Pages 325-342
  10. Multi-Objective Genetic Algorithms for Chemical Engineering Applications

    • Guillermo Hernandez-Rodriguez, Fernando Morales-Mendoza, Luc Pibouleau, Catherine Azzaro-Pantel, Serge Domenech, Adama Ouattara
    Pages 343-371
  11. A Multi-Objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company

    • Marco A. Miranda-Ackerman, Gregorio Fernández-Lambert, Catherine Azzaro-Pantel, Alberto A. Aguilar-Lasserre
    Pages 373-394

About this book

Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors.

This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.

Editors and Affiliations

  • Evol. Comput. & Image Proc. Group, Center for Develop. of Adv. Computing, Pune, India

    Jayaraman Valadi

  • Lab. LiSSi (EA 3956), Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

About the editors

Jayaraman Valadi worked in the Chemical Engineering division of the National Chemical Laboratory, Pune, India, retiring as a Deputy Director in 2009. He then joined the Evolutionary Computing and Image Processing Group at the Centre for Development of Advanced Computing (CDAC), University of Pune, first in the role of an Emeritus Scientist and then as a consultant. He is also a visiting professor at the Shiv Nadar University, Gautam Buddha Nagar, India. His research interests include computational intelligence, artificial intelligence, bioinformatics and chemical engineering.

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi). He has considerable teaching and research experience in the areas of signal processing, control, artificial intelligence, operations research, and optimization. He presently serves as an Associate Editor of the journal Information Sciences and the journal Engineering Applications of Artificial Intelligence.

Bibliographic Information

  • Book Title: Applications of Metaheuristics in Process Engineering

  • Editors: Jayaraman Valadi, Patrick Siarry

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

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-06507-6Published: 21 August 2014

  • Softcover ISBN: 978-3-319-35704-1Published: 23 August 2016

  • eBook ISBN: 978-3-319-06508-3Published: 07 August 2014

  • Edition Number: 1

  • Number of Pages: XIII, 444

  • Number of Illustrations: 114 b/w illustrations, 50 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Industrial Chemistry/Chemical Engineering

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access