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عنوان
Nature-Inspired algorithms and applied optimization

پدید آورنده
edited by Xin-She Yang.

موضوع
Algorithms.,Artificial intelligence.,Computational intelligence.,Mathematical optimization.

رده
QA76
.
9
.
N37
2018

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
9783319676692
(Number (ISBN
9783319676685

NATIONAL BIBLIOGRAPHY NUMBER

Number
E2979

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Nature-Inspired algorithms and applied optimization
First Statement of Responsibility
edited by Xin-She Yang.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham,
Name of Publisher, Distributor, etc.
Springer International Publishing
Date of Publication, Distribution, etc.
2018.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xi, 330 p.
Other Physical Details
ill.

SERIES

Series Title
(Studies in computational intelligence
Other Title Information
744)
ISSN of Series
1860-949X ;

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Mathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.
0

SUMMARY OR ABSTRACT

Text of Note
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

TOPICAL NAME USED AS SUBJECT

Entry Element
Algorithms.
Entry Element
Artificial intelligence.
Entry Element
Computational intelligence.
Entry Element
Mathematical optimization.

DEWEY DECIMAL CLASSIFICATION

Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
Book number
.
N37
2018

PERSONAL NAME - SECONDARY RESPONSIBILITY

Entry Element
Yang, Xin-She.

ORIGINATING SOURCE

Country
Iran
Agency
University of Tehran. Library of College of Science
Date of Transaction
20220410173004.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Date and Hour of Consultation and Access
UT_SCI_BL_DB_1003237_0001.pdf

e

BL
278840

a
Y

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