Performance Review of Harmony Search, Differential Evolution and Particle Swarm Optimization

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Pandey, Hari Mohan^1

Amity University Uttar Pradesh, Sector 125, Noida, India^1

关键词: Complex optimization problems;    Computational capability;    Differential Evolution;    Differential evolution and particle swarm optimizations;    Harmony search;    Meta heuristic algorithm;    Performance comparison;    Performance reviews;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012221/pdf
DOI  :  10.1088/1757-899X/225/1/012221

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Metaheuristic algorithms are effective in the design of an intelligent system. These algorithms are widely applied to solve complex optimization problems, including image processing, big data analytics, language processing, pattern recognition and others. This paper presents a performance comparison of three meta-heuristic algorithms, namely Harmony Search, Differential Evolution, and Particle Swarm Optimization. These algorithms are originated altogether from different fields of meta-heuristics yet share a common objective. The standard benchmark functions are used for the simulation. Statistical tests are conducted to derive a conclusion on the performance. The key motivation to conduct this research is to categorize the computational capabilities, which might be useful to the researchers.