Modeling and Modifying the Foraging Strategy in Swarm Robots-Reference-Cited by-同舟云学术

Modeling and Modifying the Foraging Strategy in Swarm Robots

Published:2011-02 Issue: Volume:467-469 Page:269-274
ISSN:1662-9795
Container-title:Key Engineering Materials
language:
Short-container-title:KEM

Author:

Xu Dong¹,Liu Bai Long¹,Zhang Ru Bo¹

Affiliation:

1. Harbin Engineering University

Abstract

Swarm Intelligence which emerges from interactions of simple individuals can be used to solve many problems. The foraging task in ant system is often considered as the prototype of cooperative behavior in Swarm Intelligence. The foraging model in swarm robots which considers the random feature of individual robot is built using the mean field method. Then the conflict between robots which influences the performance is observed. To solve this problem, a modified foraging strategy based on pheromone is proposed. From the simulations in Starlogo platform, it is shown that the modified method can reduces the conflict of robots and increase the performance of the system.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.scientific.net/KEM.467-469.269.pdf

Reference10 articles.

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