Optimizing Engineering Problems Through Heuristic Techniques (Record no. 70734)

000 -LEADER
fixed length control field 05844cam a2200565Mu 4500
001 - CONTROL NUMBER
control field 9781351049580
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212230.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191207s2019 flu o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351049573
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1351049577
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351049580
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1351049585
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781351049566
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1351049569
-- (electronic bk. : EPUB)
082 04 - CLASSIFICATION NUMBER
Call Number 530.2
100 1# - AUTHOR NAME
Author Kumar, K.
245 10 - TITLE STATEMENT
Title Optimizing Engineering Problems Through Heuristic Techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton :
Publisher CRC Press LLC,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (151 p.).
490 1# - SERIES STATEMENT
Series statement Science, Technology, and Management Ser.
500 ## - GENERAL NOTE
Remark 1 Description based upon print version of record.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Cover; Half Title; Series Page; Title Page; Copyright Page; Contents; Preface; Authors; Section I: Introduction to Heuristic Optimization; Chapter 1 Optimization Using Heuristic Search: An Introduction; 1.1 Introduction; 1.2 The Optimization Problem; 1.2.1 Local Versus Global Optima; 1.3 Categorization of Optimization Techniques; 1.4 Requirement of Heuristics and Their Characteristics; 1.5 Performance Measures for Heuristics; 1.6 Classification of Heuristics; 1.7 Conclusion; Section II: Description of Heuristic Optimization Techniques; Part I: Evolutionary Techniques
505 8# - FORMATTED CONTENTS NOTE
Remark 2 Chapter 2 Genetic Algorithm2.1 Introduction; 2.2 Genetic Algorithm; 2.3 Competent Genetic Algorithm; 2.4 Improvements in Genetic Algorithms; 2.5 Conclusion; Chapter 3 Particle Swarm Optimization Algorithm; 3.1 Introduction; 3.2 Basics of Particle Swarm Optimization Approach; 3.2.1 Structure of Standard PSO; 3.2.2 Some Definitions; 3.3 PSO Algorithm; 3.4 Some Modified PSO Algorithms; 3.4.1 Quantum-Behaved PSO; 3.4.2 Chaotic PSO; 3.4.3 Time Varying Acceleration Coefficient-Based PSO; 3.4.4 Simpliefid PSO; 3.5 Benefits of PSO Algorithm; 3.6 Applications of PSO; 3.7 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Remark 2 Part II: Nature-Based TechniquesChapter 4 Ant Colony Optimization; 4.1 Introduction; 4.2 Components and Goals of ACO; 4.3 Traditional Approaches of ACO; 4.3.1 Ant System; 4.3.2 Max-Min Ant System; 4.3.3 Quantum Ant Colony Optimization; 4.3.4 Cooperative Genetic Ant System; 4.3.5 Cunning Ant System; 4.3.6 Model Induced Max-Min Ant System; 4.3.7 Ant Colony System; 4.4 Engineering Applications of Ant Colony Optimization Algorithm; 4.5 Conclusion; Chapter 5 Bees Algorithm; 5.1 Introduction; 5.2 Basic Version of Bees Algorithm; 5.3 Improvements on Bees Algorithm
505 8# - FORMATTED CONTENTS NOTE
Remark 2 5.3.1 Improvements Associated with Setting and Tuning of Parameters5.3.2 Improvements Considered on the Local and Global Search Phase; 5.3.3 Improvements Made in the Initialization of the Problem; 5.4 Conclusion; Chapter 6 Firefly Algorithm; 6.1 Introduction; 6.2 Biological Foundations; 6.3 Structure of Firefly Algorithm; 6.4 Characteristics of Firefly Algorithm; 6.5 Variants of Firefly Algorithm; 6.5.1 Modie Variants of Firefly Algorithm; 6.5.2 Hybrid Variants of Firefly Algorithm; 6.6 Engineering Applications of Firefly Algorithm; 6.7 Conclusion; Chapter 7 Cuckoo Search Algorithm
505 8# - FORMATTED CONTENTS NOTE
Remark 2 7.1 Introduction7.2 Cuckoo Search Methodology; 7.3 Variants of Cuckoo Search Algorithm; 7.3.1 Adaptive Cuckoo Search Algorithm; 7.3.2 Self-Adaptive Cuckoo Search Algorithm; 7.3.3 Cuckoo Search Clustering Algorithm; 7.3.4 Novel Adaptive Cuckoo Search Algorithm; 7.3.5 Cuckoo Search Algorithm Based on Self-Learning Criteria; 7.3.6 Discrete Cuckoo Search Algorithm; 7.3.7 Differential Evolution and Cuckoo Search Algorithm; 7.3.8 Cuckoo Inspired Fast Search; 7.3.9 Cuckoo Search Algorithm Integrated with Membrane Communication Mechanism; 7.3.10 Master-Leader-Slave Cuckoo
500 ## - GENERAL NOTE
Remark 1 7.3.11 Cuckoo Search Algorithm with Wavelet Neural Network Model
520 ## - SUMMARY, ETC.
Summary, etc This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions. Features Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems Illustrates the various heuristics techniques Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic techniques
700 1# - AUTHOR 2
Author 2 Zindani, Divya,
700 1# - AUTHOR 2
Author 2 Davim, J. Paulo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781351049580
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Database Management / Data Mining
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MATHEMATICS / Probability & Statistics / Bayesian Analysis
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY / Engineering / Industrial
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Open systems (Physics)

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