Function optimization using robust simulated annealing

Hari Mohan Pandey; Ahalya Gajendran

doi:10.1007/978-81-322-2757-1_35

Function optimization using robust simulated annealing

Hari Mohan Pandey^*, Ahalya Gajendran

^*Corresponding author for this work

Computer Science

Amity University, Noida

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016
Editors	Jyotsna Kumar Mandal, Siba K. Udgata, Suresh Chandra Satapathy, Vikrant Bhateja
Publisher	Springer Verlag
Pages	347-355
Number of pages	9
Volume	435
ISBN (Print)	9788132227564
DOIs	https://doi.org/10.1007/978-81-322-2757-1_35
Publication status	Published - 29 Feb 2016
Event	3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016 - Visakhapatnam, India Duration: 8 Jan 2016 → 9 Jan 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	435
ISSN (Print)	2194-5357

Conference

Conference	3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016
Country/Territory	India
City	Visakhapatnam
Period	8/01/16 → 9/01/16

Keywords

Function optimization
Robust design
Simulated annealing algorithm
Taguchi method

Access to Document

10.1007/978-81-322-2757-1_35

Cite this

Pandey, H. M., & Gajendran, A. (2016). Function optimization using robust simulated annealing. In J. K. Mandal, S. K. Udgata, S. C. Satapathy, & V. Bhateja (Eds.), Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016 (Vol. 435, pp. 347-355). (Advances in Intelligent Systems and Computing; Vol. 435). Springer Verlag. https://doi.org/10.1007/978-81-322-2757-1_35

Pandey, Hari Mohan ; Gajendran, Ahalya. / Function optimization using robust simulated annealing. Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016. editor / Jyotsna Kumar Mandal ; Siba K. Udgata ; Suresh Chandra Satapathy ; Vikrant Bhateja. Vol. 435 Springer Verlag, 2016. pp. 347-355 (Advances in Intelligent Systems and Computing).

@inproceedings{dc25871c5b224e27a7a735d3f0d61c93,

title = "Function optimization using robust simulated annealing",

abstract = "In today{\textquoteright}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.",

keywords = "Function optimization, Robust design, Simulated annealing algorithm, Taguchi method",

author = "Pandey, {Hari Mohan} and Ahalya Gajendran",

year = "2016",

month = feb,

day = "29",

doi = "10.1007/978-81-322-2757-1_35",

language = "English",

isbn = "9788132227564",

volume = "435",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "347--355",

editor = "Mandal, {Jyotsna Kumar} and Udgata, {Siba K.} and Satapathy, {Suresh Chandra} and Vikrant Bhateja",

booktitle = "Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016",

address = "Germany",

note = "3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016 ; Conference date: 08-01-2016 Through 09-01-2016",

}

Pandey, HM & Gajendran, A 2016, Function optimization using robust simulated annealing. in JK Mandal, SK Udgata, SC Satapathy & V Bhateja (eds), Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016. vol. 435, Advances in Intelligent Systems and Computing, vol. 435, Springer Verlag, pp. 347-355, 3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016, Visakhapatnam, India, 8/01/16. https://doi.org/10.1007/978-81-322-2757-1_35

Function optimization using robust simulated annealing. / Pandey, Hari Mohan; Gajendran, Ahalya.
Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016. ed. / Jyotsna Kumar Mandal; Siba K. Udgata; Suresh Chandra Satapathy; Vikrant Bhateja. Vol. 435 Springer Verlag, 2016. p. 347-355 (Advances in Intelligent Systems and Computing; Vol. 435).

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

TY - GEN

T1 - Function optimization using robust simulated annealing

AU - Pandey, Hari Mohan

AU - Gajendran, Ahalya

PY - 2016/2/29

Y1 - 2016/2/29

N2 - 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.

AB - 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.

KW - Function optimization

KW - Robust design

KW - Simulated annealing algorithm

KW - Taguchi method

UR - http://www.scopus.com/inward/record.url?scp=84959128621&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959128621&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/function-optimization-using-robust-simulated-annealing

U2 - 10.1007/978-81-322-2757-1_35

DO - 10.1007/978-81-322-2757-1_35

M3 - Conference proceeding (ISBN)

AN - SCOPUS:84959128621

SN - 9788132227564

VL - 435

T3 - Advances in Intelligent Systems and Computing

SP - 347

EP - 355

BT - Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016

A2 - Mandal, Jyotsna Kumar

A2 - Udgata, Siba K.

A2 - Satapathy, Suresh Chandra

A2 - Bhateja, Vikrant

PB - Springer Verlag

T2 - 3rd International Conference on Information System Design and Intelligent Applications, INDIA 2016

Y2 - 8 January 2016 through 9 January 2016

ER -

Pandey HM, Gajendran A. Function optimization using robust simulated annealing. In Mandal JK, Udgata SK, Satapathy SC, Bhateja V, editors, Information Systems Design and Intelligent Applications - Proceedings of 3rd International Conference INDIA 2016. Vol. 435. Springer Verlag. 2016. p. 347-355. (Advances in Intelligent Systems and Computing). Epub 2016 Feb 29. doi: 10.1007/978-81-322-2757-1_35

Function optimization using robust simulated annealing

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this