Genetic Algorithms in Applications
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This...
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| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
IntechOpen
2021
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| 主題: | |
| オンライン･アクセス: | ONIX_20210420_9789535104001_1202 |
| タグ: |
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| _version_ | 1869531609277923328 |
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| collection | Directory of Open Access Books |
| description | Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms. |
| format | Online |
| id | doab-20.500.12854ir-65844 |
| 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-658442024-04-14T10:28:22Z Genetic Algorithms in Applications Popa, Rustem Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms. 2021-04-20T15:27:28Z 2021-04-20T15:27:28Z 2012 book ONIX_20210420_9789535104001_1202 9789535104001 9789535156901 https://directory.doabooks.org/handle/20.500.12854/65844 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/2285/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/2675 10.5772/2675 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535104001 9789535156901 IntechOpen 330 open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Genetic Algorithms in Applications |
| title | Genetic Algorithms in Applications |
| title_full | Genetic Algorithms in Applications |
| title_fullStr | Genetic Algorithms in Applications |
| title_full_unstemmed | Genetic Algorithms in Applications |
| title_short | Genetic Algorithms in Applications |
| title_sort | genetic algorithms in applications |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9789535104001_1202 |