Research Area:  Metaheuristic Computing

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.

Keywords:  
the great salmon run
TGSR
metaheuristics
stochastic optimisation
natural inspiration

Author(s) Name:  Alireza Fathi and Ahmad Mozaffari

Publisher name:  InderScience

DOI:  10.1504/IJCAT.2014.062357

Volume Information:  Vol. 49, No. 3-4

Paper Link:   https://www.inderscienceonline.com/doi/abs/10.1504/IJCAT.2014.062357