Golden Sine Algorithm: A Novel Math-Inspired Algorithm
In this study, Golden Sine Algorithm (Gold-SA) is presented as a new metaheuristic method for solving optimization problems. Gold-SA has been developed as a new search algorithm based on population. This math-based algorithm is inspired by sine that is a trigonometric function. In the algorithm, r...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2017-05-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2017.02010 |
| Summary: | In this study, Golden Sine Algorithm (Gold-SA) is presented as a new metaheuristic method for solving optimization
problems. Gold-SA has been developed as a new search algorithm based on population. This math-based algorithm is
inspired by sine that is a trigonometric function. In the algorithm, random individuals are created as many as
the number of search agents with uniform distribution for each dimension. The Gold-SA operator searches to
achieve a better solution in each iteration by trying to bring the current situation closer to the target
value. The solution space is narrowed by the golden section so that the areas that are supposed to give
only good results are scanned instead of the whole solution space scan. In the tests performed, it is seen
that Gold-SA has better results than other population based methods. In addition, Gold-SA has fewer
algorithm-dependent parameters and operators than other metaheuristic methods, increasing the importance
of this method by providing faster convergence of this new method. |
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| ISSN: | 1582-7445 1844-7600 |