Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization Wco 2014. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2016
Serie: Libro 128 di 538 - Studies in Computational Intelligence
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- Usato
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Codice articolo 28123518
- Titolo
- Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization Wco 2014
- Autore
- Fidanova, Stefka (EDT)
- Editore
- Springer
- Anno di pubblicazione
- 2016
- Condizione
- As New
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 3319374087
- ISBN 13
- 9783319374086
- Serie
- Libro 128 di 538: Studies in Computational Intelligence
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014.
The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source and so on.
It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
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Dalla quarta di copertina
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014.
The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source and so on.
It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
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