Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Fusion of Whale and Sine Cosine Algorithms for solving optimization Functions

Version 1 : Received: 14 October 2020 / Approved: 15 October 2020 / Online: 15 October 2020 (11:33:27 CEST)

How to cite: Singh Walia, G.; Singh, N.; Singh, S. An Fusion of Whale and Sine Cosine Algorithms for solving optimization Functions. Preprints 2020, 2020100319 (doi: 10.20944/preprints202010.0319.v1). Singh Walia, G.; Singh, N.; Singh, S. An Fusion of Whale and Sine Cosine Algorithms for solving optimization Functions. Preprints 2020, 2020100319 (doi: 10.20944/preprints202010.0319.v1).

Abstract

We developed a novel hybrid approach for solving global optimization, computer science, bio-medical and engineering real life applications that is based on the coupling of the Whale Optimizer and Sine Cosine Algorithms via a surrogate model. We relate the whale optimizer algorithm to balance between the exploitation and the exploration process in the proposed method. There exist confirmed techniques for searching approximate best optimal solutions, but our algorithm will further guarantee that such numerical and statistical solutions satisfy physical bounds of the standard and real life functions. Our experiments with the benchmark, bio-medical, computer science and engineering real life problems have illustrated the advantages of using a newly hybrid approach based on mixing Whale Optimizer and Sine Cosine algorithms. It holds considerable potential for reducing execution time for solving standard and real life problems and at the same time improving the quality of the solution.

Subject Areas

function optimization; benchmark function; Whale Optimization (WO); Sine Cosine (SC) Algorithm

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