Evolutionary Large‐Scale Multi‐Objective Optimization and Applications (Record no. 67073)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03489nam a22004214u 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10.1002/9781394178445 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Wiley |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030120311.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mam|a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240722t2024||||xxu fs| |0|| 0|eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781394178445 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781394178445 |
| Source of number or code | doi |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Zhang, Xingyi |
| Relator code | aut |
| 9 (RLIN) | 91746 |
| 245 10 - TITLE STATEMENT | |
| Title | Evolutionary Large‐Scale Multi‐Objective Optimization and Applications |
| Remainder of title | Integrating Evolutionary Computation, Machine Learning, and Data Science |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Xingyi Zhang, Ran Cheng, Ye Tian, Yaochu Jin |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - Date publicare | |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2024 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Wiley |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 352pp.; |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Source | rdaft |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| Encoding format | |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Tackle the most challenging problems in science and engineering with these cutting-edge algorithms Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs, but challenges remain at the level of large-scale multi-objective optimization problems (LSMOPs), where the number of variables increases and the optimized solution is correspondingly harder to reach. Evolutionary Large-Scale Multi-Objective Optimization and Applications constitutes a systematic overview of EAs and their capacity to tackle LSMOPs. It offers an introduction to both the problem class and the algorithms before delving into some of the cutting-edge algorithms which have been specifically adapted to solving LSMOPs. Deeply engaged with specific applications and alert to the latest developments in the field, it's a must-read for students and researchers facing these famously complex but crucial optimization problems. The book's readers will also find: Analysis of multi-optimization problems in fields such as machine learning, network science, vehicle routing, and more Discussion of benchmark problems and performance indicators for LSMOPs Presentation of a new taxonomy of algorithms in the field Evolutionary Large-Scale Multi-Objective Optimization and Applications is ideal for advanced students, researchers, and scientists and engineers facing complex optimization problems. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 91747 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 653 00 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Multi-objective optimization problems; evolutionary algorithms; large-scale multi-optimization problems; unconventional models; network science; machine learning; artificial intelligence; intensity modulated radiotherapy optimization |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cheng, Ran |
| Relator code | aut |
| 9 (RLIN) | 91748 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tian, Ye |
| Relator code | aut |
| 9 (RLIN) | 91749 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jin, Yaochu |
| Relator code | aut |
| 9 (RLIN) | 91750 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781394178414 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1002/9781394178445">https://doi.org/10.1002/9781394178445</a> |
| Host name | Wiley Online Library |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394178445">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394178445</a> |
| Host name | Wiley Online Library |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Cover Image |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/cms/asset/7c2afe61-5b69-4550-8559-06b0d20b0bb3/9781394178445.cover.gif">https://onlinelibrary.wiley.com/cms/asset/7c2afe61-5b69-4550-8559-06b0d20b0bb3/9781394178445.cover.gif</a> |
| Host name | Wiley Online Library |
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