Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode

6Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a swarm robotics approach for dual non-cooperative search, where two robotic swarms are deployed within a map with the goal to find their own target point, placed at an unknown location of the map. We consider the self-centered mode, in which each swarm tries to solve its own goals with no consideration to any other factor external to the swarm. This problem, barely studied so far in the literature, is solved by applying a popular swarm intelligence method called bat algorithm, adapted to this problem. Five videos show some of the behavioral patterns found in our computational experiments.

Cite

CITATION STYLE

APA

Suárez, P., Gálvez, A., Fister, I., Fister, I., Osaba, E., Del Ser, J., & Iglesias, A. (2018). Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11315 LNCS, pp. 201–209). Springer Verlag. https://doi.org/10.1007/978-3-030-03496-2_23

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free