Modified Sine-Cosine Metaheuristic Аlgorithm for Multidimensional Global Optimization Problems

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Abstract

The computational model of the sine-cosine metaheuristic algorithm is investigated. A modified algorithm is proposed that includes computational mechanisms to maintain a balance between the convergence rate of the algorithm and the diversification of the solution search space. The effectiveness of the algorithm is analyzed using a series of experiments for the tasks of finding a global minimum in a set of multidimensional test functions. The statistical significance of the obtained results is checked. 

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About the authors

Sergey I. Rodzin

Southern Federal University

Author for correspondence.
Email: srodzin@sfedu.ru

Candidate of technical sciences, docent. Professor at the Institute of Computer Technology and Information Security

Russian Federation, Taganrog

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