عنوان
پدید آورنده
موضوع
رده
TA347 .A78 K35 2021
TA347
.
A78
K35
2021
کتابخانه
محل استقرار
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
