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عنوان
Constraint handling in cohort intelligence algorithm

پدید آورنده
Ishaan R. Kale and Anand J. Kulkarni.,Kale, Ishaan R.,

موضوع
Artificial intelligence.,Computational intelligence.,Algorithms.

رده
TA347
.
A78
K35
2021

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
9781000520514
(Number (ISBN
9781032150758
(Number (ISBN
9781032156576

NATIONAL BIBLIOGRAPHY NUMBER

Number
E3599

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Constraint handling in cohort intelligence algorithm
First Statement of Responsibility
Ishaan R. Kale and Anand J. Kulkarni.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton
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
vi, 200 p.

SERIES

Series Title
(Advances in metaheuristics)

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

SUMMARY OR ABSTRACT

Text of Note
"Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods"--

TOPICAL NAME USED AS SUBJECT

Entry Element
Artificial intelligence.
Entry Element
Computational intelligence.
Entry Element
Algorithms.

DEWEY DECIMAL CLASSIFICATION

Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TA347
Book number
.
A78
K35
2021

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Kale, Ishaan R.,

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Kulkarni, Anand Jayant,

ORIGINATING SOURCE

Country
ایران
Agency
University of Tehran. Library of College of Science
Date of Transaction
20220524150944.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Date and Hour of Consultation and Access
UT_SCI_BL_DB_1003936_0001.pdf

e

BL
278840

a
Y

Proposal/Bug Report

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