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Function Optimization Using Robust Simulated Annealing

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 435))

Abstract

In today’s world, researchers spend more time in fine-tuning of algorithms rather than designing and implementing them. This is very true when developing heuristics and metaheuristics, where the correct choice of values for search parameters has a considerable effect on the performance of the procedure. Determination of optimal parameters is continuous engineering task whose goals are to reduce the production costs and to achieve the desired product quality. In this research, simulated annealing algorithm is applied to solve function optimization. This paper presents the application and use of statistical analysis method Taguchi design method for optimizing the parameters are tuned for the optimum output. The outcomes for various combinations of inputs are analyzed and the best combination is found among them. From all the factors considered during experimentation, the factors and its values which show the significant effect on output are discovered.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Amity University, Sector-125, Noida, Uttar Pradesh, India

    Hari Mohan Pandey &  Ahalya Gajendran

Authors
  1. Hari Mohan Pandey
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  2. Ahalya Gajendran
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Corresponding author

Correspondence to Hari Mohan Pandey .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Pandey, H.M., Ahalya Gajendran (2016). Function Optimization Using Robust Simulated Annealing. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_35

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  • DOI: https://doi.org/10.1007/978-81-322-2757-1_35

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2756-4

  • Online ISBN: 978-81-322-2757-1

  • eBook Packages: EngineeringEngineering (R0)

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