275,56 €
324,19 €
-15% su kodu: ENG15
Real-World Applications of Genetic Algorithms
Real-World Applications of Genetic Algorithms
275,56 €
324,19 €
  • Išsiųsime per 10–14 d.d.
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 techniq…
  • Leidėjas:
  • ISBN-10: 9535101463
  • ISBN-13: 9789535101468
  • Formatas: 17 x 24.4 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Real-World Applications of Genetic Algorithms (el. knyga) (skaityta knyga) | knygos.lt

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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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EXTRA 15 % nuolaida su kodu: ENG15

275,56 €
324,19 €
Išsiųsime per 10–14 d.d.

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  • Leidėjas:
  • ISBN-10: 9535101463
  • ISBN-13: 9789535101468
  • Formatas: 17 x 24.4 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų Anglų

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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