International Conference on Information and Knowledge Technology

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Binary water stream algorithm: a new meta-heuristic optimization technique

Authors :

Faezeh Rahimi Sebdani¹ Mehdi Nasri²

1- Khomeinishahr branch, Islamic Azad University 2- Khomeinishahr branch, Islamic Azad University

Keywords :

metaheuristic algorithm،Optimization،Water Stream Optimization Algorithm،transfer functions،binary problems

Abstract :

In recent years, the use of metaheuristic algorithms in solving optimization and data mining problems has been widely embraced. These algorithms have shown significant efficiency in solving complex and high-dimensional problems. The water flow algorithm, inspired by the natural movement of water towards the lowest possible point on the ground, has demonstrated remarkable superiority in solving continuous problems with high dimensions. However, it is not suitable for solving discrete and binary problems. In this article, the Water Stream Algorithm has been transformed into a binary version using a combination of sigmoid and U-shaped transfer functions without changing its operators. The statistical results show that the BWSTO algorithm has faster convergence and stronger exploitation compared to the Genetic Algorithm and Binary Particle Swarm Optimization Algorithm. This algorithm performs better than the Binary Gray Wolf Algorithm in avoiding local minima . The exploration capabilities of the proposed algorithm are higher compared to the binary gravitational search algorithm.

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