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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10295
Title: Improved sine cosine algorithm with crossover scheme for global optimization
Authors: Gupta S.
Deep K.
Published in: Knowledge-Based Systems
Abstract: Sine Cosine Algorithm is a recently developed algorithm based on the characteristics of sine and cosine trigonometric functions, to solve global optimization problems. This paper introduces a novel improved version of sine cosine algorithm, which enhances the exploitation ability of solutions and reduces the overflow of diversity present in the search equations of classical SCA. The proposed algorithm is named as ISCA. The key feature in the proposed algorithm is the hybridization of exploitation skills of crossover with personal best state of individual solutions and integration of self-learning and global search mechanisms. To evaluate these skills in ISCA, a classical set of well-known benchmark problems, standard IEEE CEC 2014 benchmark test and a recent set of benchmark problems, IEEE CEC 2017 have been taken. Several performance metrics (such as convergence, statistical test, performance index), employed on ISCA, ensure the robustness and efficiency of the algorithm. In the paper, the proposed algorithm ISCA is also used to solve five well-known engineering optimization problems. At the end of the paper, the proposed algorithm is also used for multilevel thresholding in image segmentation. The numerical experiments and analysis demonstrate that the proposed algorithm (ISCA) can be highly effective in solving real-life optimization problems. © 2018 Elsevier B.V.
Citation: Knowledge-Based Systems (2019), 165(): 374-406
URI: https://doi.org/10.1016/j.knosys.2018.12.008
http://repository.iitr.ac.in/handle/123456789/10295
Issue Date: 2019
Publisher: Elsevier B.V.
Keywords: Engineering optimization problems
Multilevel thresholding
Optimization
Population based algorithms
Sine cosine algorithm
ISSN: 9507051
Author Scopus IDs: 57209786185
8561208900
Author Affiliations: Gupta, S., Department of Mathematics, Indian Institute of Technology Roorkee247667, Roorkee, Uttarakhand, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee247667, Roorkee, Uttarakhand, India
Funding Details: The first author gratefully acknowledges to the Ministry of Human Resource and Development (MHRD), Government of India for their financial support. Grant No. MHR-02-41-113-429 .
Corresponding Author: Gupta, S.; Department of Mathematics, Indian Institute of Technology Roorkee247667India; email: sgupta@ma.iitr.ac.in
Appears in Collections:Journal Publications [MA]

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