TGSR: the great salmon run optimisation algorithm
by Alireza Fathi; Ahmad Mozaffari
International Journal of Computer Applications in Technology (IJCAT), Vol. 49, No. 3/4, 2014

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.

Online publication date: Mon, 02-Mar-2015

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