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Record Nr. |
UNINA9910299666503321 |
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Titolo |
Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization WCO 2013 / / edited by Stefka Fidanova |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (X, 193 p. 63 illus., 16 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-949X ; ; 580 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Operations research |
Decision making |
Computational Intelligence |
Artificial Intelligence |
Operations Research/Decision Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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From the Contents: Three-Stage Heuristic for the Capacitated Vehicle Routing Problem with Time Windows -- Fuzzy bicriteria optimization approach to distribution network design -- Constraint Propagation for the Dial-a-Ride Problem with Split Loads -- Multiple shooting SQP algorithm for optimal control of DAE systems with inconsistent initial conditions. |
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Sommario/riassunto |
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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, |
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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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