社交工程优化外文文献 The Social Engineering Optimizer (SEO).pdf

Engineering Applications of Artificial Intelligence 72 (2018) 267–293 Contents lists available at ScienceDirect Engineering Applications of Artificial Intelligence journal homepage: /locate/engappai The Social Engineering Optimizer (SEO) a, a Amir Mohammad Fathollahi-Fard *, Mostafa Hajiaghaei-Keshteli , Reza Tavakkoli-Moghaddam b,c, * a Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran b School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran c LCFC, Arts et Métiers Paris Tech, Metz, France A R T I C L E I N F O A B S T R A C T Keywords: Although several meta-heuristics have been developed in the last two decades, most of them are population- Social Engineering Optimizer (SEO) based, undergo many steps along with several parameters that make them hard to understand and code. In Meta-heuristics addition, there are same procedures in recent metaheuristics which make them similar. So, the researchers Single-solution usually are confused to select a metaheuristic and cannot find any superiority or at least in any algorithms. Optimization techniques Because of this, the researchers still use the old algorithms instead of the recent ones. Contrary to previous Engineering applications work, this paper a