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Soft Computing Applications in Industry pp 1–22Cite as

Optimization of Industrial Processes Using Improved and Modified Differential Evolution

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 226))

Introduction

Optimization refers to finding one or more feasible solutions, which correspond to extreme values of one or more objectives. The need for finding such optimal solutions in a problem comes mostly from the extreme purpose of either designing a solution for minimum possible cost of fabrication, or for maximum possible reliability, or others. Because of such extreme properties of optimal solutions, optimization methods are of great importance in practice, particularly in engineering design, scientific experiments and business decision-making.

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Authors and Affiliations

  1. Chemical Engineering Department & Educational Hardware Division (EHD), Birla Institute of Technology and Science (BITS), Pilani, 333 031, Rajasthan, India

    B. V. Babu

  2. Chemical Engineering Department, Birla Institute of Technology and Science (BITS), Pilani, 333 031, Rajasthan, India

    Rakesh Angira

Authors
  1. B. V. Babu
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  2. Rakesh Angira
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Bhanu Prasad

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Babu, B.V., Angira, R. (2008). Optimization of Industrial Processes Using Improved and Modified Differential Evolution. In: Prasad, B. (eds) Soft Computing Applications in Industry. Studies in Fuzziness and Soft Computing, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77465-5_1

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  • DOI: https://doi.org/10.1007/978-3-540-77465-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77464-8

  • Online ISBN: 978-3-540-77465-5

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