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Record Nr. |
UNINA9910298526103321 |
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Autore |
Agnetis Alessandro |
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Titolo |
Multiagent Scheduling : Models and Algorithms / / by Alessandro Agnetis, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, Ameur Soukhal |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (281 p.) |
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Disciplina |
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005.74 |
005.743 |
330 |
658.40301 |
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Soggetti |
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Operations research |
Decision making |
Computers |
Operations Research/Decision Theory |
Models and Principles |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Multiagent Scheduling Fundamentals -- 2. Problems, Algorithms and Complexity -- 3. Single Machine Problems -- 4. Batching Scheduling Problems -- 5. Parallel Machine Scheduling Problems -- 6. Scheduling Problems with Variable Job Processing Times -- References. |
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Sommario/riassunto |
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Scheduling theory has received a growing interest since its origins in the second half of the 20th century. Developed initially for the study of scheduling problems with a single objective, the theory has been recently extended to problems involving multiple criteria. However, this extension has still left a gap between the classical multi-criteria approaches and some real-life problems in which not all jobs contribute to the evaluation of each criterion. In this book, we close this gap by presenting and developing multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. Several scenarios are introduced, depending on the |
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