Real-World Applications of Genetic Algorithms
The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two dec...
שמור ב:
| פורמט: | Online |
|---|---|
| שפה: | אנגלית |
| יצא לאור: |
IntechOpen
2021
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| נושאים: | |
| גישה מקוונת: | ONIX_20210420_9789535101468_1079 |
| תגים: |
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| _version_ | 1869515260973547520 |
|---|---|
| collection | Directory of Open Access Books |
| description | The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc. |
| format | Online |
| id | doab-20.500.12854ir-65722 |
| 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-657222024-04-14T10:28:18Z Real-World Applications of Genetic Algorithms Roeva, Olympia Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc. 2021-04-20T15:24:19Z 2021-04-20T15:24:19Z 2012 book ONIX_20210420_9789535101468_1079 9789535101468 9789535156895 https://directory.doabooks.org/handle/20.500.12854/65722 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/2284/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/2674 10.5772/2674 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535101468 9789535156895 IntechOpen 378 open access |
| spellingShingle | Neural networks & fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Real-World Applications of Genetic Algorithms |
| title | Real-World Applications of Genetic Algorithms |
| title_full | Real-World Applications of Genetic Algorithms |
| title_fullStr | Real-World Applications of Genetic Algorithms |
| title_full_unstemmed | Real-World Applications of Genetic Algorithms |
| title_short | Real-World Applications of Genetic Algorithms |
| title_sort | real world applications of genetic algorithms |
| 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_9789535101468_1079 |