UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCW06065


Registration ID:
216624

Page Number

336-342

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Title

PERFORMANCE EVALUATION OF NATURE INSPIRED META-HEURISTIC ALGORITHMS USING ROSENBROCK, RASTRIGIN AND SPHERE TEST FUNCTION FOR OPTIMIZATION

Abstract

Due to a large pool of optimization algorithms available, it is a daunting task for a researcher to select the best algorithm for their optimization problem. Nature inspired meta-heuristic algorithms have emerged and are very popular among researchers for their research. The meta-heuristic algorithm are used for finding and generating partial search algorithm that is supposed to provide a sufficiently good solution to any optimization problem especially with imperfect information. In this paper, we have chosen two widely researched and rapidly developing algorithms namely Artificial Bee Colony (ABC) and Firefly algorithm (FA) to test on different test functions. Therefore, this paper the efficiency of Artificial Bee Colony and Firefly algorithm are rigorously tested on three most used test function for optimization namely Rosenbrock test function, Rastrigin test function and Sphere test function. The best cost for both the algorithm on all three test functions are presented and compared to find which algorithm is best along with the test function for finding optimal solution to meta-heuristic implementation.

Key Words

Nature-inspired, Meta-heuristic, Artificial Bee Colony, Firefly algorithm, Optimization

Cite This Article

"PERFORMANCE EVALUATION OF NATURE INSPIRED META-HEURISTIC ALGORITHMS USING ROSENBROCK, RASTRIGIN AND SPHERE TEST FUNCTION FOR OPTIMIZATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.336-342, May 2019, Available :http://www.jetir.org/papers/JETIRCW06065.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PERFORMANCE EVALUATION OF NATURE INSPIRED META-HEURISTIC ALGORITHMS USING ROSENBROCK, RASTRIGIN AND SPHERE TEST FUNCTION FOR OPTIMIZATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp336-342, May 2019, Available at : http://www.jetir.org/papers/JETIRCW06065.pdf

Publication Details

Published Paper ID: JETIRCW06065
Registration ID: 216624
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 336-342
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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