Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization Wco 2013. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2016
Serie: Libro 173 di 538 - Studies in Computational Intelligence
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Codice articolo 27002016-n
- Titolo
- Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization Wco 2013
- Autore
- Fidanova, Stefka (EDT)
- Editore
- Springer
- Anno di pubblicazione
- 2016
- Condizione
- New
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 3319385887
- ISBN 13
- 9783319385884
- Serie
- Libro 173 di 538: Studies in Computational Intelligence
Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, resource constrained project scheduling, problems arising in transport services, error correcting codes, optimal system performance and energy consumption 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.
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Dalla quarta di copertina
Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, resource constrained project scheduling, problems arising in transport services, error correcting codes, optimal system performance and energy consumption 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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.