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

Patricia Suárez; Akemi Gálvez; Iztok Fister; Iztok Fister; Eneko Osaba; Javier Del Ser; Andrés Iglesias

doi:10.1007/978-3-030-03496-2_23

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

Patricia Suárez, Akemi Gálvez, Iztok Fister, Iztok Fister, Eneko Osaba, Javier Del Ser, Andrés Iglesias

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings
Editors	David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros, Hujun Yin
Publisher	Springer Verlag
Pages	201-209
Number of pages	9
ISBN (Print)	9783030034955
DOIs	https://doi.org/10.1007/978-3-030-03496-2_23
Publication status	Published - 2018
Event	19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 - Madrid, Spain Duration: 21 Nov 2018 → 23 Nov 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11315 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018
Country/Territory	Spain
City	Madrid
Period	21/11/18 → 23/11/18

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10.1007/978-3-030-03496-2_23

Cite this

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 D. Camacho, P. Novais, A. J. Tallón-Ballesteros, & H. Yin (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings (pp. 201-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11315 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-03496-2_23

Suárez, Patricia ; Gálvez, Akemi ; Fister, Iztok et al. / Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode. Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. editor / David Camacho ; Paulo Novais ; Antonio J. Tallón-Ballesteros ; Hujun Yin. Springer Verlag, 2018. pp. 201-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode",

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.",

author = "Patricia Su{\'a}rez and Akemi G{\'a}lvez and Iztok Fister and Iztok Fister and Eneko Osaba and {Del Ser}, Javier and Andr{\'e}s Iglesias",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 ; Conference date: 21-11-2018 Through 23-11-2018",

year = "2018",

doi = "10.1007/978-3-030-03496-2_23",

language = "English",

isbn = "9783030034955",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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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 D Camacho, P Novais, AJ Tallón-Ballesteros & H Yin (eds), Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11315 LNCS, Springer Verlag, pp. 201-209, 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, Madrid, Spain, 21/11/18. https://doi.org/10.1007/978-3-030-03496-2_23

Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode. / Suárez, Patricia; Gálvez, Akemi; Fister, Iztok et al.
Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. ed. / David Camacho; Paulo Novais; Antonio J. Tallón-Ballesteros; Hujun Yin. Springer Verlag, 2018. p. 201-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11315 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode

AU - Suárez, Patricia

AU - Gálvez, Akemi

AU - Fister, Iztok

AU - Osaba, Eneko

AU - Del Ser, Javier

AU - Iglesias, Andrés

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-030-03496-2_23

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings

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A2 - Novais, Paulo

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Suárez P, Gálvez A, Fister I, Fister I, Osaba E , Del Ser J et al. Bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode. In Camacho D, Novais P, Tallón-Ballesteros AJ, Yin H, editors, Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings. Springer Verlag. 2018. p. 201-209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-03496-2_23

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

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