Optimization for Engineering Problems

Optimization for Engineering Problems

by Kaushik Kumar, J. Paulo Davim
Released July 2019
Publisher(s): Wiley-ISTE
ISBN: 9781786304742

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Book description

Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a result, our knowledge of all aspects of the field has grown even more profound.

In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering.

Table of contents

  1. Cover
  2. Preface
  3. 1 Review of some Constrained Optimization Schemes
    1. 1.1. Introduction
    2. 1.2. Constrained optimization problems
    3. 1.3. Direct solution techniques
    4. 1.4. Indirect solution techniques
    5. 1.5. Constrained multi-objective optimization
    6. 1.6. Conclusions
    7. 1.7. References
  4. 2 Application of Flower Pollination Algorithm for Optimization of ECM Process Parameters
    1. 2.1. Introduction
    2. 2.2. Flower pollination algorithm
    3. 2.3. Optimization of the ECM process: results and discussions
    4. 2.4. Conclusion
    5. 2.5. References
  5. 3 Machinability and Multi-response Optimization of EDM of Al7075/SIC/WS2 Hybrid Composite Using the PROMETHEE Method
    1. 3.1. Introduction
    2. 3.2. Literature review
    3. 3.3. Optimization process
    4. 3.4. Result and discussion
    5. 3.5. Conclusion
    6. 3.6. References
  6. 4 Optimization of Cutting Parameters during Hard Turning using Evolutionary Algorithms
    1. 4.1. Introduction
    2. 4.2. Genetic programming
    3. 4.3. Particle swarm optimization
    4. 4.4. Materials and methods
    5. 4.5. Results
    6. 4.6. Conclusion
    7. 4.7. References
  7. 5 Development of a Multi-objective Salp Swarm Algorithm for Benchmark Functions and Real-world Problems
    1. 5.1. Introduction
    2. 5.2. Salp swarm algorithm
    3. 5.3. Constraint handling techniques
    4. 5.4. Experimental results and discussion
    5. 5.5. Conclusion
    6. 5.6. References
  8. 6 Water Quality Index: is it Possible to Measure with Fuzzy Logic?
    1. 6.1. Introduction
    2. 6.2. Data and methodology
    3. 6.3. Results and discussion
    4. 6.4. Conclusions
    5. 6.5. Appendix
    6. 6.6. References
  9. List of Authors
  10. Index
  11. End User License Agreement

Product information

  • Title: Optimization for Engineering Problems
  • Author(s): Kaushik Kumar, J. Paulo Davim
  • Release date: July 2019
  • Publisher(s): Wiley-ISTE
  • ISBN: 9781786304742