Advanced Cat Swarm Optimization Algorithm in Group Robotics Problem
Year: 2019
Type: conference-paper
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.
Source: Procedia Computer Science
Authors: A.P. Karpenko, I.A. Leshchev
Institution: Bauman Moscow State Technical University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2937036615
