The handbook of AI-based metaheuristics / (Record no. 4936)
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| 000 -LEADER | |
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| fixed length control field | 06111cam a22006131i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003162841 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240213122825.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210709s2021 flua ob 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000434255 |
| Qualifying information | (ePub ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000434257 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000434248 |
| Qualifying information | (PDF ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000434249 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781003162841 |
| Qualifying information | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1003162843 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780367753030 (hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 0367753030 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1201/9781003162841 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1264400287 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1264400287 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA168 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 012040 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 044000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 059000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMB |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 620.0042028563 |
| Edition number | 23 |
| 245 04 - TITLE STATEMENT | |
| Title | The handbook of AI-based metaheuristics / |
| Statement of responsibility, etc. | edited by Anand Kulkarni, Patrick Siarry. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Boca Raton : |
| Name of producer, publisher, distributor, manufacturer | CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource : |
| Other physical details | illustrations (black and white). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 0# - SERIES STATEMENT | |
| Series statement | Advances in metaheuristics |
| 500 ## - GENERAL NOTE | |
| General note | <strong><em> </em></strong> <p>Section I Bio-Inspired Methods</p><p>Chapter 1 Brain Storm Optimization Algorithm</p><i><p>Marwa Sharawi, Mohammadreza Gholami,</p><p>and Mohammed El-Abd</p></i><b></b><p><b>Chapter 2 </b>Fish School Search: Account for the First Decade</p><i><p>Carmelo José Abanez Bastos-Filho, Fernando Buarque de Lima-Neto,</p><p>Anthony José da Cunha Carneiro Lins, Marcelo Gomes Pereira de</p><p>Lacerda, Mariana Gomes da Motta Macedo, Clodomir Joaquim de</p><p>Santana Junior, Hugo Valadares Siqueira, Rodrigo Cesar Lira da Silva,</p><p>Hugo Amorim Neto, Breno Augusto de Melo Menezes, Isabela Maria</p><p>Carneiro Albuquerque, João Batista Monteiro Filho, Murilo Rebelo Pontes,</p><p>and João Luiz Vilar Dias</p></i><b></b><p><b>Chapter 3 </b>Marriage in Honey Bees Optimization in Continuous Domains</p><i><p>Jing Liu, Sreenatha Anavatti, Matthew Garratt,</p><p>and Hussein A. Abbass</p></i><b></b><p><b>Chapter 4 </b>Structural Optimization Using Genetic Algorithm...</p><i><p>Ravindra Desai</p><b><p>Section II Physics and Chemistry-Based Methods</p></b></i><b></b><p><b>Chapter 5 </b>Gravitational Search Algorithm: Theory, Literature Review,</p><p>and Applications</p><i><p>Amin Hashemi, Mohammad Bagher Dowlatshahi,</p><p>and Hossein Nezamabadi-pour</p></i><b></b><p><b>Chapter 6 </b>Stochastic Diffusion Search</p><i><p>Andrew Owen Martin</p></i><p>BK-TandF-KULKARNI-9780367753030-210197-FM.indd 7 22/06/21 2:03 PM</p><b></b><p><b>viii </b>Contents</p><b><i><p>Section III Socio-inspired Methods</p></i></b><p><b>Chapter 7 </b>The League Championship Algorithm: Applications and Extensions</p><p><i>Ali Husseinzadeh Kashan, Alireza Balavand, Somayyeh Karimiyan,</i></p><i><p>and Fariba Soleimani</p></i><b></b><p><b>Chapter 8 </b>Cultural Algorithms for Optimization</p><i><p>Carlos Artemio Coello Coello and Ma Guadalupe Castillo Tapia</p></i><b></b><p><b>Chapter 9 </b>Application of Teaching-Learning-Based Optimization</p><p>on Solving of Time Cost Optimization Problems</p><i><p>Vedat Toğan, Tayfun Dede, and Hasan Basri Başağa</p></i><b></b><p><b>Chapter 10 </b>Social Learning Optimization</p><i><p>Yue-Jiao Gong</p></i><b></b><p><b>Chapter 11 </b>Constraint Handling in Multi-Cohort Intelligence Algorithm</p><p><i>Apoorva S. Shastri and Anand J. Kulkarni</i></p><i><b><p>Section IV Swarm-Based Methods</p></b></i><b></b><p><b>Chapter 12 </b>Bee Colony Optimization and Its Applications</p><i><p>Dušan Teodorović, Tatjana Davidović, Milica Šelmić,</p><p>and Miloš Nikolić</p></i><b></b><p><b>Chapter 13 </b>A Bumble Bees Mating Optimization Algorithm for the Location</p><p>Routing Problem with Stochastic Demands</p><i><p>Magdalene Marinaki and Yannis Marinakis</p></i><b></b><p><b>Chapter 14 </b>A Glowworm Swarm Optimization Algorithm for the Multi-Objective</p><p>Energy Reduction Multi-Depot Vehicle Routing Problem</p><i><p>Emmanouela Rapanaki, Iraklis-Dimitrios Psychas,</p><p>Magdalene Marinaki, and Yannis Marinakis</p></i><b></b><p><b>Chapter 15 </b>Monarch Butterfly Optimization</p><i><p>Liwen Xie and Gai-Ge Wang</p></i> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. Thiswill be avaluable reference for researchers in industry and academia, as well as for all Master's and PhD students working in the metaheuristics and applications domains. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Systems engineering |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Metaheuristics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Heuristic algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mathematical optimization. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Computer Graphics / Game Programming & Design |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Neural Networks |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS / Computer Engineering |
| Source of heading or term | bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kulkarni, Anand Jayant, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Siarry, Patrick, |
| Relator term | editor. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003162841">https://www.taylorfrancis.com/books/9781003162841</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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