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Aerospace Instrument-Making

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MODIFIED ALGORITHM OF PARTICLE SWARM OPTIMIZATION, FOCUSED ON THE TASK OF MONITORING BY A GROUP OF ROBOTS
Kang Liang, A.P. Karpenko

The paper proposes a new algorithm named PSO+ for global optimization, which is a modification of the canonical algorithm PSO for the swarm of particles. The modification is aimed at ensuring the possibility of using the algorithm PSO+ for solving problems of group robotics, which boil down to localizing the global extreme of a certain scalar objective function. The modification consists in limiting the particle velocity and, most importantly, in replacing the concept of particle proximity: instead of proximity in the topological space used by the algorithm PSO, the algorithm PSO+ is based on the proximity of particles in the search space.
Key words: group robotics, modified particle swarm optimization algorithm, global optimization.


DOI: 10.25791/aviakosmos.02.2019.461

Contacts: E-mail kangliang@sspu.edu.cn, E-mail: apkarpenko@mail.ru

Pp. 34-43.

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