Recent Advances on Meta-Heuristics and Their Application to Real Scenarios
This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficie...
Сохранить в:
| Формат: | Online |
|---|---|
| Язык: | английский |
| Опубликовано: |
IntechOpen
2021
|
| Предметы: | |
| Online-ссылка: | ONIX_20210420_9789535109136_1741 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
| _version_ | 1869524704136527872 |
|---|---|
| collection | Directory of Open Access Books |
| description | This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents. |
| format | Online |
| id | doab-20.500.12854ir-66383 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-663832024-04-14T10:28:20Z Recent Advances on Meta-Heuristics and Their Application to Real Scenarios Del Ser, Javier Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. In summary, this book serves as a good start point for early-stage investigators in the initial steps of their research on meta-heuristics, grounded on both a thorough literature review and the practical orientation of its contents. 2021-04-20T15:41:47Z 2021-04-20T15:41:47Z 2013 book ONIX_20210420_9789535109136_1741 9789535109136 9789535162971 https://directory.doabooks.org/handle/20.500.12854/66383 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3135/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3434 10.5772/3434 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535109136 9789535162971 IntechOpen 140 open access |
| spellingShingle | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title | Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title_full | Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title_fullStr | Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title_full_unstemmed | Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title_short | Recent Advances on Meta-Heuristics and Their Application to Real Scenarios |
| title_sort | recent advances on meta heuristics and their application to real scenarios |
| topic | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9789535109136_1741 |