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010 a| 2022022593;

020 a| 9781032039954q| (hbk);

020 a| 9781032039961q| (pbk);

020 a| 9781003190141q| (ebk);

035 a| (WaSeSS)ssj0002715451;

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245 00 a| Swarm intelligenceh| [electronic resource] :b| trends and applications /c| editors Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil, Juliana Carneiro Gomes, University of Pernambuco, Brazil, Valter Augusto de Freitas Barbosa, Federal Rural University of Pernambuco, Brazil.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press, Taylor & Francis Group,c| 2023.;

300 a| ix, 250 pages ;c| 24 cm;

504 a| Includes bibliographical references (pages 242-247) and index.;

505 2 a| Swarm intelligence based algorithm for feature selection in high-dimensional datasets / Nandini Nayar, Sachin Ahuja and Shaily Jain -- Swarm intelligence for data mining / Razieh Sheikhpour -- Leveraging center-based sampling theory for enhancing particle swarm classification of textual data / Anwar Ali Yahya.;

506 a| Available only to authorized users.;

520 a| "In this book we present the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. In this approach we seek to present both solid and comprehensive theoretical foundations and examples using the main computational intelligence libraries, in programming languages such as Python, Java and Matlab. Real-world applications are also presented, in areas as diverse as Medicine, Biology and industrial applications. The book is divided in three parts. In the first part, "Particle Swarm Optimization and Swarm Intelligence Basics", we present an introduction to swarming algorithms and hybrid techniques. In the second part, "Swarm Intelligence Applications", we present real applications of swarm intelligence, seeking to illustrate how swarm algorithms can be used in applications of optimization and pattern recognition. In the third and final part, "Coding Swarm Intelligence Algorithms", we present tutorials of swarm intelligence libraries in Python, Java, Matlab and C ++"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Swarm intelligence.=| ^A692501;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Santos, Wellington Pinheiro dos.?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003190141;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6688787-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Swarm intelligence trends and applications / editors Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil, Juliana Carneiro Gomes, University of Pernambuco, Brazil, Valter Augusto de Freitas Barbosa, Federal Rural University of Pernambuco, Brazil.

Other author	Santos, Wellington Pinheiro dos.
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, Taylor & Francis Group, 2023.
Description	ix, 250 pages ; 24 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Swarm intelligence.

Partial contents	Swarm intelligence based algorithm for feature selection in high-dimensional datasets / Nandini Nayar, Sachin Ahuja and Shaily Jain -- Swarm intelligence for data mining / Razieh Sheikhpour -- Leveraging center-based sampling theory for enhancing particle swarm classification of textual data / Anwar Ali Yahya.
Abstract	"In this book we present the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. In this approach we seek to present both solid and comprehensive theoretical foundations and examples using the main computational intelligence libraries, in programming languages such as Python, Java and Matlab. Real-world applications are also presented, in areas as diverse as Medicine, Biology and industrial applications. The book is divided in three parts. In the first part, "Particle Swarm Optimization and Swarm Intelligence Basics", we present an introduction to swarming algorithms and hybrid techniques. In the second part, "Swarm Intelligence Applications", we present real applications of swarm intelligence, seeking to illustrate how swarm algorithms can be used in applications of optimization and pattern recognition. In the third and final part, "Coding Swarm Intelligence Algorithms", we present tutorials of swarm intelligence libraries in Python, Java, Matlab and C ++"-- Provided by publisher.
Bibliography note	Includes bibliographical references (pages 242-247) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022022593
ISBN	9781032039954 (hbk)
ISBN	9781032039961 (pbk)
ISBN	9781003190141 (ebk)

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Swarm intelligence trends and applications / editors Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil, Juliana Carneiro Gomes, University of Pernambuco, Brazil, Valter Augusto de Freitas Barbosa, Federal Rural University of Pernambuco, Brazil.

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