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|a Real-World Applications of Genetic Algorithms
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|a 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
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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 |
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Roeva, Olympia HerausgeberIn edt, Real-World Applications of Genetic Algorithms, [Erscheinungsort nicht ermittelbar] IntechOpen 2012, 1 Online-Ressource (378 p.), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Open Access Unrestricted online access star, 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, Creative Commons https://creativecommons.org/licenses/by/3.0 cc, English, Artificial intelligence, https://directory.doabooks.org/handle/20.500.12854/65722 X:DOAB Verlag kostenfrei, https://directory.doabooks.org/handle/20.500.12854/65722 LFER, LFER 2021-12-13T06:00:53Z, https://directory.doabooks.org/handle/20.500.12854/65722 Zum Online-Dokument DE-Zi4, DE-Zi4 2022-03-16T15:06:43Z |
| spellingShingle |
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 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, Artificial intelligence |
| title |
Real-World Applications of Genetic Algorithms |
| title_auth |
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 |
Artificial intelligence |
| topic_facet |
Artificial intelligence |
| url |
https://directory.doabooks.org/handle/20.500.12854/65722 |
