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  • © 2019

Optimization in Industry

Present Practices and Future Scopes

  • Presents comparative studies on the different optimization tools
  • Lists several case studies
  • Helps to solve real-life demands with conflicting objectives through multi-objective optimization

Part of the book series: Management and Industrial Engineering (MINEN)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-x
  2. Optimization Techniques: An Overview

    • Shubhabrata Datta, Sandipan Roy, J. Paulo Davim
    Pages 1-11
  3. Evolutionary Computation for Multicomponent Problems: Opportunities and Future Directions

    • Mohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner, Frank Neumann
    Pages 13-30
  4. Evolutionary Computing Applied to Solve Some Operational Issues in Banks

    • Gutha Jaya Krishna, Vadlamani Ravi
    Pages 31-53
  5. Evolutionary Computation for Theatre Hall Acoustics

    • Cemre Cubukcuoglu, Ayca Kirimtat, Berk Ekici, Fatih Tasgetiren, P. N. Suganthan
    Pages 55-83
  6. Structural Optimization for Masonry Shell Design Using Multi-objective Evolutionary Algorithms

    • Esra Cevizci, Seckin Kutucu, Mauricio Morales-Beltran, Berk Ekici, M. Fatih Tasgetiren
    Pages 85-119
  7. Evolutionary Algorithms for Designing Self-sufficient Floating Neighborhoods

    • Ayca Kirimtat, Berk Ekici, Cemre Cubukcuoglu, Sevil Sariyildiz, Fatih Tasgetiren
    Pages 121-147
  8. Evolutionary Computation in Blast Furnace Iron Making

    • Bashista Kumar Mahanta, Nirupam Chakraboti
    Pages 211-252
  9. Data-Driven Design Optimization for Industrial Products

    • Swati Dey, N. Gupta, S. Pathak, D. H. Kela, Shubhabrata Datta
    Pages 253-267
  10. Comparative Study of Multi/Many-Objective Evolutionary Algorithms on Hot Rolling Application

    • Prateek Mittal, Affan Malik, Itishree Mohanty, Kishalay Mitra
    Pages 331-349
  11. Back Matter

    Pages 351-352

About this book

This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.

Editors and Affiliations

  • Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, India

    Shubhabrata Datta

  • Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
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