DSSO-Directional Shrinking Search Optimization

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Tripathi, D.P.^1 ; Jena, U.R.^1

Department of Electronics and Telecommunication Engineering, Veer Surendra Sai University of Technology, Burla

768018, India^1

关键词: Benchmark functions;    Exploration and exploitation;    Global optimum;    Heuristic search algorithms;    Optimization techniques;    Search region;    Shrinking searches;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012280/pdf
DOI  :  10.1088/1757-899X/225/1/012280

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Researchers are continuously trying to develop new heuristic search algorithms in the field of optimization. In this paper, a novel optimization technique has been proposed that tries to maximize the effectiveness of exploration and exploitation by the algorithms in the search of global optimum point. In this proposed algorithm, the points in the search regions are directing towards the global optimum point in the same time the search region is also starts reducing exponentially. A stochastic process has been added in the end of the algorithm to provide better exploitation of the search region. The performance of the algorithm has been compared with some well known optimization techniques and the derived empirical results on solving standard benchmark functions clearly signifies the high performance of the proposed algorithm.