Function optimization using robust simulated annealing

Hari Mohan Pandey*, Ahalya Gajendran

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationInformation Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016
EditorsJyotsna Kumar Mandal, Siba K. Udgata, Suresh Chandra Satapathy, Vikrant Bhateja
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9788132227564
Publication statusPublished - 29 Feb 2016
Event3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016 - Visakhapatnam, India
Duration: 8 Jan 20169 Jan 2016

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016


  • Function optimization
  • Robust design
  • Simulated annealing algorithm
  • Taguchi method


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