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^*

^*Autor correspondiente de este trabajo

Universidad de Cantabria
Toho University
University of Maribor
Basque Center for Applied Mathematics

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

6 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 19th International Conference, Proceedings
Editores	David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros, Hujun Yin
Editorial	Springer Verlag
Páginas	201-209
Número de páginas	9
ISBN (versión impresa)	9783030034955
DOI	https://doi.org/10.1007/978-3-030-03496-2_23
Estado	Publicada - 2018
Evento	19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 - Madrid, Espana Duración: 21 nov 2018 → 23 nov 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11315 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018
País/Territorio	Espana
Ciudad	Madrid
Período	21/11/18 → 23/11/18

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

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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. En 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)).

@inproceedings{bff3459270cf4d87b19a3d6afc756865,

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)",

publisher = "Springer Verlag",

pages = "201--209",

editor = "David Camacho and Paulo Novais and Tall{\'o}n-Ballesteros, \{Antonio J.\} and Hujun Yin",

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

address = "Germany",

}

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. En 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, Espana, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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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

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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U2 - 10.1007/978-3-030-03496-2_23

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

M3 - Conference contribution

AN - SCOPUS:85057130608

SN - 9783030034955

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

A2 - Tallón-Ballesteros, Antonio J.

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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. En Camacho D, Novais P, Tallón-Ballesteros AJ, Yin H, editores, 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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