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Nature-Inspired Algorithms for Global Optimization in Group Robotics Problems

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Book cover Smart Electromechanical Systems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 174))

Abstract

Localization of plots of land which have the highest level of radiation, chemical or alternative contamination is one of the typical group robotics objectives. The research aim lies in development, software implementation and performance study of the original robotic group control algorithm based on nature-inspired Cat Swarm Optimization algorithm. This paper proposes Cat Swarm Optimization algorithm description, features of software realization and a vast computational experiment results. The practical value of this work lies in applicability of proposed algorithm for decentralized robotic group control systems synthesis.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, Moscow, Russia

    Anatoliy P. Karpenko & Ilia A. Leshchev

Authors
  1. Anatoliy P. Karpenko
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  2. Ilia A. Leshchev
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Correspondence to Anatoliy P. Karpenko .

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Editors and Affiliations

  1. Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, Saint Petersburg, Russia

    Andrey E. Gorodetskiy

  2. Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, Saint Petersburg, Russia

    Irina L. Tarasova

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Karpenko, A.P., Leshchev, I.A. (2019). Nature-Inspired Algorithms for Global Optimization in Group Robotics Problems. In: Gorodetskiy, A., Tarasova, I. (eds) Smart Electromechanical Systems. Studies in Systems, Decision and Control, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-99759-9_8

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