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Advanced Cat Swarm Optimization Algorithm in Group Robotics Problem

Anatoly Karpenko, Ilia A. Leshchev

发表年份
2019
引用次数
8

摘要

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.

关键词

Computer scienceRoboticsSwarm behaviourSwarm roboticsArtificial intelligenceSoftwareRealization (probability)AlgorithmGroup (periodic table)Optimization algorithm

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