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An Improved Spider Monkey Optimization Algorithm

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Book cover Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 583))

Abstract

Spider Monkey Optimization is the newest member of the Swarm Intelligence-based algorithm, which is motivated by the extraordinary behavior of Spider Monkeys. The SMO algorithm is a population-based stochastic metaheuristic. The SMO algorithm is well balanced for good exploration and exploitation most of the times. This paper introduces an improved strategy to update the position of solution in Local Leader Phase. The proposed algorithm named as Improved Spider Monkey Optimization (ISMO) algorithm. This method is developed to improve the rate of convergence. The ISMO algorithm tested over the benchmark problems and its superiority established with the help of statistical results.

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Authors and Affiliations

  1. Faculty of Engineering & Technology, Jagannath University, Jaipur, India

    Viren Swami & Sandeep Kumar

  2. Amity School of Engineering and Technology, Amity University, Jaipur, India

    Sanjay Jain

Authors
  1. Viren Swami
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  2. Sandeep Kumar
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  3. Sanjay Jain
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Corresponding author

Correspondence to Viren Swami .

Editor information

Editors and Affiliations

  1. Department of Applied Science and Engineering, IIT Roorkee, Saharanpur, India

    Millie Pant

  2. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  3. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  4. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  5. Surface Characterization Group, NIMS, Nano Characterization Unit, Advanced Key Technologies Division, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Swami, V., Kumar, S., Jain, S. (2018). An Improved Spider Monkey Optimization Algorithm. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore. https://doi.org/10.1007/978-981-10-5687-1_7

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  • DOI: https://doi.org/10.1007/978-981-10-5687-1_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5686-4

  • Online ISBN: 978-981-10-5687-1

  • eBook Packages: EngineeringEngineering (R0)

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