MARC details
| 000 -LEADER |
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| fixed length control field |
03237nam a22003497a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250626112859.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250626b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781558605954 |
| Qualifying information |
(hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| Description conventions |
rda |
| Original cataloging agency |
Sai University Library |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
006.3 |
| Item number |
KEN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kennedy, James F. |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Swarm intelligence / |
| Statement of responsibility, etc |
James Kennedy, Russell C. Eberhart, with Yuhui Shi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
San Francisco : |
| Name of publisher, distributor, etc |
Morgan Kaufmann Publishers, |
| Date of publication, distribution, etc |
2001 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
San Francisco : |
| Name of producer, publisher, distributor, manufacturer |
Morgan Kaufmann Publishers, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2001 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2001 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxvii, 512 pages : |
| Other physical details |
illustrations ; |
| 336 ## - Content type term (R) |
|---|
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
|---|
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Morgan Kaufmann series in evolutionary computation |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Gifted by Ajith Abraham |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (pages 475-495) and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodologyparticle swarmswhich focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional. * Places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation. * Describes recent results of experiments with the particle swarm optimization (PSO) algorithm * Includes a basic overview of statistics to ensure readers can properly analyze the results of their own experiments using the algorithm. * Support software which can be downloaded from the publishers website, includes a Java PSO applet, C and Visual Basic source code. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Swarm intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Systems engineering |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Distributed artificial intelligence |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Eberhart, Russell C. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shi, Yuhui. |
| Relator term |
author |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Morgan Kaufmann series in evolutionary computation |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
