共 50 条
TGSR: the great salmon run optimisation algorithm
被引:2
|作者:
Fathi, Alireza
[1
]
Mozaffari, Ahmad
[1
]
机构:
[1] Babol Univ Technol, Dept Mech Engn, POB 484, Babol Sar, Mazandaran, Iran
关键词:
great salmon run;
TGSR;
metaheuristics;
stochastic optimisation;
natural inspiration;
D O I:
10.1504/IJCAT.2014.062357
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
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.
引用
收藏
页码:192 / 206
页数:15
相关论文