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Particle swarm optimization (Record no. 561611)

000 -LEADER
fixed length control field 04785nam a2200589 i 4500
001 - CONTROL NUMBER
control field 6812504
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152850.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 081019s2008 caua fob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1598296159 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781598296150 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1598296140 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781598296143 (pbk.)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00110ED1V01Y200804CEM020
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)231628508
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)gtp00531432
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QC20.7.M27
Item number .M546 2008
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 539.7/2
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mikki, Said M.
245 10 - TITLE STATEMENT
Title Particle swarm optimization
Medium [electronic resource] :
Remainder of title a physics-based approach /
Statement of responsibility, etc. Said M. Mikki and Ahmed A. Kishk.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of publisher, distributor, etc. Morgan & Claypool Publishers,
Date of publication, distribution, etc. c2008.
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic text (x, 93 p. : ill. (some col.)) :
Other physical details digital file.
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on computational electromagnetics,
International Standard Serial Number 1932-1716 ;
Volume/sequential designation #20
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
500 ## - GENERAL NOTE
General note Series from website.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 79-84) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents -- Preface -- 1. Introduction -- 1.1. What is optimization? -- 1.2. Why physics-based approach -- 1.3. The philosophy of the book -- 2. The classical particle swarm optimization method -- 2.1. Definition of the PSO algorithm -- 2.2. Particle swarm optimization and electromagnetics -- 3. Physical formalism for particle swarm optimization -- 3.1. Introduction -- 3.2. Molecular dynamics formulation -- 3.3. Extraction of information from swarm dynamics -- 3.4. Thermodynamic analysis of the PSO environment -- 3.5. Acceleration technique for the PSO algorithm -- 3.6. Diffusion model for the PSO algorithm -- 3.7. Markov model for swarm optimization techniques -- 4. Boundary conditions for the PSO method -- 4.1. Introduction -- 4.2. The soft conditions -- 4.3. The hard boundary conditions -- 4.4. Comparative study of hard and soft boundary conditions -- 4.5. Hybrid periodic boundary condition for the PSO environment -- 5. The quantum particle swarm optimization -- 5.1. Quantum formulation of the swarm dynamics -- 5.2. The choice of the potential well distribution -- 5.3. The collapse of the wave function -- 5.4. Selecting the parameters of the algorithm -- 5.5. The QPSO algorithm -- 5.6. Application of the QPSO to array antenna synthesis problems -- 5.7. Infinitesimal dipoles equivalent to practical antennas -- 5.8. Conclusion -- Bibliography -- Index.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 ## - SUMMARY, ETC.
Summary, etc. This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connection between what are usually assumed to be separate fields of study, optimization and physics. Within this framework, it becomes quite natural to derive the recently introduced quantum PSO algorithm from the Hamiltonian or the Lagrangian of the dynamical system. The physical theory of the PSO is used to suggest some improvements in the algorithm itself, like temperature acceleration techniques and the periodic boundary condition. At the end, we provide a panorama of applications demonstrating the power of the PSO, classical and quantum, in handling difficult engineering problems. The goal of this work is to provide a general multi-disciplinary view on various topics in physics, mathematics, and engineering by illustrating their interdependence within the unified framework of the swarm dynamics.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF t.p. (viewed Oct. 19, 2008).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical optimization.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Particle swarm optimization.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Swarm dynamics.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Computational electromagnetics.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Evolutionary computing.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Artificial intelligence.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Optimization algorithm.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kishk, Ahmed A.
730 0# - ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on computational electromagnetics,
International Standard Serial Number 1932-1716 ;
Volume/sequential designation #20.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6812504
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE111 2020-04-13 2020-04-13 E books

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