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عنوان
Handbook of AI-based metaheuristics

پدید آورنده
edited by Anand J. Kulkarni, Patrick Siarry.

موضوع
Systems engineering,Artificial intelligence.,Metaheuristics.,Heuristic algorithms.,Mathematical optimization.,Data processing.

رده
TA168/1

کتابخانه
Library of College of Science University of Tehran

محل استقرار
استان: Tehran ـ شهر: Tehran

Library of College of Science University of Tehran

تماس با کتابخانه : 61112616-66495290-021

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781000434255
(Number (ISBN
9780367753030
(Number (ISBN
9780367755355

NATIONAL BIBLIOGRAPHY NUMBER

Number
E3905

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Handbook of AI-based metaheuristics
First Statement of Responsibility
edited by Anand J. Kulkarni, Patrick Siarry.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton FL.
Name of Publisher, Distributor, etc.
CRC Press, Taylor and Francis Group
Date of Publication, Distribution, etc.
2022.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xix, 398 p.

SERIES

Series Title
Advances in metaheuristics

GENERAL NOTES

Text of Note
Includes works by Mohammed El-Abd and many others.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Socio-inspired methods -- Physics and chemistry-based methods -- Bio-inspired methods -- Swarm-based methods.
0

SUMMARY OR ABSTRACT

Text of Note
"At the heart of the optimization domain are mathematical modelling of the problem and the solution methodologies. In recent times, the problems are becoming larger, with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to Artificial Intelligence (AI) based nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications, as well as newly devised metaheuristic algorithms. The book will be a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain"--

TOPICAL NAME USED AS SUBJECT

Entry Element
Systems engineering
Entry Element
Artificial intelligence.
Entry Element
Metaheuristics.
Entry Element
Heuristic algorithms.
Entry Element
Mathematical optimization.
Topical Subdivision
Data processing.

DEWEY DECIMAL CLASSIFICATION

Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TA168/1

PERSONAL NAME - SECONDARY RESPONSIBILITY

Entry Element
Kulkarni, Anand Jayant,
Entry Element
Siarry, Patrick,

ORIGINATING SOURCE

Country
ایران
Agency
University of Tehran. Library of College of Science
Date of Transaction
20220524150852.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Date and Hour of Consultation and Access
UT_SCI_BL_DB_1004191_0001.pdf

e

BL
278840

a
Y

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