Particle Swarm Optimization in Swarm Robotics

被引：0

作者：

Turkler, Levent ^{[1
]}

Akkan, L. Ozlem ^{[2
]}

Akkan, Taner ^{[2
]}

机构：

[1] Dokuz Eylul Univ, Grad Sch Nat & Appl Sci, Izmir, Turkey

[2] Dokuz Eylul Univ, Izmir Vocat Sch, Izmir, Turkey

来源：

2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020) | 2020年

关键词：

PSO; Optimization; Swarm Robotics; Multi; Robotic;

D O I：

10.1109/hora49412.2020.9152861

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this study, Swarm robots, collective task behaviors, and communication models for motion integrity are examined. Collective Motion, which is one of the taxonomies of Swarm robots, has been defined to be suitable for Swarm robotics, one of the optimization methods based on genetic algorithm, to ensure its behavior. Among these optimization methods, Particle Swarm Optimization is discussed and the difficulties and problems arising from the equation and communication are discussed during the movements of the Swarm robots by moving from the basic equation. In addition, solutions of these problems were studied. And also, in the communication systems that will control the movements of the Swarm robots, a discussion has been made on the communication model that will contribute to the Swarm robotics in the literature. As a result of this study, in order to provide the collective movements of swarm robotics and to create more efficient communication, robots are divided into groups and the Swarm is modeled according to this modeling.

引用

页码：305 / 310

页数：6

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