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Books on the topic 'Swarm Intelligence'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Blum, Christian, and Daniel Merkle, eds. Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74089-6.

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2

Dorigo, Marco, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, et al., eds. Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15461-4.

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3

Dorigo, Marco, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, and Thomas Stützle, eds. Swarm Intelligence. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44427-7.

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4

Dorigo, Marco, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Montes de Oca, Christine Solnon, and Thomas Stützle, eds. Swarm Intelligence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09952-1.

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5

Dorigo, Marco, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groß, and Thomas Stützle, eds. Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32650-9.

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6

Dorigo, Marco, Thomas Stützle, Maria J. Blesa, Christian Blum, Heiko Hamann, Mary Katherine Heinrich, and Volker Strobel, eds. Swarm Intelligence. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60376-2.

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7

Dorigo, Marco, Mauro Birattari, Christian Blum, Anders L. Christensen, Andreagiovanni Reina, and Vito Trianni, eds. Swarm Intelligence. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00533-7.

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8

Dorigo, Marco, Heiko Hamann, Manuel López-Ibáñez, José García-Nieto, Andries Engelbrecht, Carlo Pinciroli, Volker Strobel, and Christian Camacho-Villalón, eds. Swarm Intelligence. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20176-9.

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9

Slowik, Adam, ed. Swarm Intelligence Algorithms. First edition. | Boca Raton : Taylor and Francis, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429422607.

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10

Slowik, Adam, ed. Swarm Intelligence Algorithms. First edition. | Boca Raton : Taylor and Francis, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429422614.

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11

Tan, Ying, and Yuhui Shi, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78811-7.

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12

Tan, Ying, and Yuhui Shi, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78743-1.

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13

Tan, Ying, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09677-8.

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14

Tan, Ying, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09726-3.

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15

Biswas, Anupam, Can B. Kalayci, and Seyedali Mirjalili, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09835-2.

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16

Tan, Ying, Hideyuki Takagi, and Yuhui Shi, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61824-1.

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17

Tan, Ying, Hideyuki Takagi, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61833-3.

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18

Tan, Ying, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41000-5.

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19

Tan, Ying, Yuhui Shi, and Li Li, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41009-8.

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20

Tan, Ying, Yuhui Shi, and Zhen Ji, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30976-2.

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21

Tan, Ying, Yuhui Shi, and Kay Chen Tan, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13495-1.

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22

Tan, Ying, Yuhui Shi, and Kay Chen Tan, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13498-2.

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23

Siarry, Patrick, Lhassane Idoumghar, and Julien Lepagnot, eds. Swarm Intelligence Based Optimization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50307-3.

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24

Panigrahi, Bijaya Ketan, Yuhui Shi, and Meng-Hiot Lim, eds. Handbook of Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17390-5.

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25

Tan, Ying, Yuhui Shi, and Carlos A. Coello Coello, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11857-4.

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26

Tan, Ying, Yuhui Shi, and Carlos A. Coello Coello, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11897-0.

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27

Siarry, Patrick, Lhassane Idoumghar, and Julien Lepagnot, eds. Swarm Intelligence Based Optimization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12970-9.

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28

Tan, Ying, Yuhui Shi, and Qirong Tang, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93815-8.

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29

Tan, Ying, Yuhui Shi, and Qirong Tang, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93818-9.

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30

Tan, Ying, Yuhui Shi, Yi Chai, and Guoyin Wang, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21515-5.

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31

Tan, Ying, Yuhui Shi, Yi Chai, and Guoyin Wang, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21524-7.

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32

Lim, Chee Peng, Lakhmi C. Jain, and Satchidananda Dehuri, eds. Innovations in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04225-6.

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33

Tan, Ying, Yuhui Shi, and Milan Tuba, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53956-6.

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34

Tan, Ying, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26354-6.

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35

Tan, Ying, Yuhui Shi, and Ben Niu, eds. Advances in Swarm Intelligence. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26369-0.

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36

Dehuri, Satchidananda, Alok Kumar Jagadev, and Mrutyunjaya Panda, eds. Multi-objective Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46309-3.

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37

Tan, Ying, Yuhui Shi, and Hongwei Mo, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38703-6.

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38

Tan, Ying, Yuhui Shi, and Hongwei Mo, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38715-9.

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39

Tan, Ying, Yuhui Shi, and Zhen Ji, eds. Advances in Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31020-1.

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40

Walters, Louis P. Applications of swarm intelligence. Hauppauge, N.Y: Nova Science Publishers, 2010.

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41

Tan, Ying, Yuhui Shi, and Wenjian Luo, eds. Advances in Swarm Intelligence. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36622-2.

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42

Tan, Ying, Yuhui Shi, and Wenjian Luo, eds. Advances in Swarm Intelligence. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36625-3.

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43

Agarwal, Shikha, Manish Gupta, Jitendra Agrawal, and Dac-Nhuong Le. Swarm Intelligence and Machine Learning. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003240037.

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44

Pinheiro dos Santos, Wellington, Valter Augusto de Freitas Barbosa, and Juliana Carneiro Gomes. Swarm Intelligence Trends and Applications. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003190141.

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45

Abraham, Ajith, Crina Grosan, and Vitorino Ramos, eds. Swarm Intelligence in Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34956-3.

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46

Bansal, Jagdish Chand, Pramod Kumar Singh, and Nikhil R. Pal, eds. Evolutionary and Swarm Intelligence Algorithms. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91341-4.

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47

F, Spears Diana, and SpringerLink (Online service), eds. Physicomimetics: Physics-Based Swarm Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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48

Bonabeau, Eric, Marco Dorigo, and Guy Theraulaz. Swarm Intelligence. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195131581.001.0001.

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Abstract:

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

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49

Swarm Intelligence. Elsevier, 2001. http://dx.doi.org/10.1016/b978-1-55860-595-4.x5000-1.

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50

Sharma, Abhishek. Swarm Intelligence. Taylor & Francis Group, 2022.

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