Social Spider Optimization Algorithm: Theory and its Applications

Social Spider Optimization Algorithm: Theory and its Applications Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India D. Evangeline Dr.T. Abirami Department of Information Technology, Kongu Engineering College , Erode, Tamil Nadu, India.

An extensive variety of optimization problems are solved by swarm intelligence algorithms that are modelled based on the animal or insect behaviour while living in groups. One such recent swarm intelligence algorithm is Social Spider Optimization (SSO). This paper thoroughly reviews and analyses the characteristics of this meta-heuristic algorithm. Since the existing literature of this algorithm is comparatively limited, the paper discusses the research ideas presented in such existing works and classifies the literature on basis of the application areas like image processing, optical flow, electric circuits, neural networks and basic sciences. It also sets a basis for research applications of the algorithm in order to tap the complete potential of the algorithm in other areas to achieve desired results.
07 30 2019 327 332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I8261.0881019 https://www.ijitee.org/portfolio-item/I8261078919/ https://www.ijitee.org/wp-content/uploads/papers/v8i10/I8261078919.pdf