TGSR: the great salmon run optimisation algorithm

Abstract

The purpose of the current research is to introduce a novel heuristic natural inspired optimisation algorithm based on the annual migration of salmons and common the menaces that lie behind their pathways. This simulation provides a powerful tool for optimising complex multi-dimensional and multi-modal problems. For demonstrating the high robustness and acceptable quality of the great salmon run TGSR, it is compared with some well-known optimisation techniques such as genetic algorithm GA, particle swarm optimisation PSO and artificial bee colony ABC. Simulated experiments are conducted on several benchmark problems and one real-life engineering problem. The obtained results confirm the high performance of the proposed method in both robustness and quality for different optimisation problems.