A MODIFIED SINE-COSINE ALGORITHM WITH DYNAMIC PERTURBATION FOR EFFECTIVE OPTIMIZATION OF ENGINEERING PROBLEMS

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M. Shahrouzi M. Shahrouzi; A.M. Taghavi A.M. Taghavi

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Journal Paper

Paper Information

Journal: International Journal of Optimization in Civil Engineering Year:2024 | Volume:14 | Issue:3 Page(s): 385-422

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Information Journal Paper

Title

A MODIFIED SINE-COSINE ALGORITHM WITH DYNAMIC PERTURBATION FOR EFFECTIVE OPTIMIZATION OF ENGINEERING PROBLEMS

Author(s)

M. Shahrouzi M. Shahrouzi | A.M. Taghavi A.M. Taghavi | Issue Writer Certificate

Keywords

Sine-cosine algorithm

computational intelligence

meta-heuristic method

function optimization

constrained problem.

Abstract

The Sine-cosine algorithm is concerned as a recent meta-heuristic method that takes benefit of orthogonal functions to scale its walking steps through the search space. The idea is utilized here in a different manner to develop a modified Sine-cosine algorithm (MSCA). It is based on the controlled perturbation about current solutions by applying a novel combination of sine and cosine functions. The desired transition from exploration to exploitation phases mainly relies on such a term that provides continued fluctuations within a dynamic amplitude. Performance of the proposed algorithm is further evaluated on a set of thirteen test functions with unimodal and multimodal search spaces, as well as on engineering and structural problems in a variety of discrete, continuous and mixed discrete-continuous types. Numerical simulations show that MSCA can find the best literature results for such benchmarks problems. Additional fair comparisons, declare competitive performance of the proposed method with other meta-heuristic algorithms and its enhancement with respect to the standard Sine-cosine algorithm.

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