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A New Bio-Inspired Social Spider Algorithm

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  • Dharmpal Singh

    (Department of Computer Science and Engineering, JIS College of Engineering, India)

Abstract

The concept of bio-inspired algorithms is used in real-world problems to search the efficient problem-solving methods. Evolutionary computation and swarm intelligence are outstanding examples of nature-inspired solution techniques of metahuristics. In this paper, an effort has been made to propose a modified social spider algorithm to solve global optimization problems in the real world. Social spiders used the foraging strategy, vibrations on the spider web to determine the positions of prey. The selection of vibration, estimated new position and calculation of the fitness function, has been furnished in details way as compared to different previously proposed swarm intelligence algorithms. Moreover, experimental result has been carried out by modified social spider on series of widely-used benchmark problem with four benchmark algorithms. Furthermore, a modified form of the proposed algorithm has superior performance as compared to other state-of-the-art metaheuristics algorithms.

Suggested Citation

  • Dharmpal Singh, 2021. "A New Bio-Inspired Social Spider Algorithm," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 12(1), pages 79-93, January.
    • Handle: RePEc:igg:jamc00:v:12:y:2021:i:1:p:79-93
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