Multiagent scheduling [electronic resource] : models and algorithms / Alessandro Agnetis, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, Ameur Soukhal.

Multiagent scheduling [electronic resource] : models and algorithms / Alessandro Agnetis, Jean-Charles Billaut, Stanisław Gawiejnowicz, Dario Pacciarelli, Ameur Soukhal.

9783642418808 electronic book
3642418805 electronic book
9783642418792

Heidelberg : Springer, 2014.

English

1 online resource (xiii, 271 pages) : illustrations

10.1007/978-3-642-41880-8 doi

QA76.76.I58

006.3

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 definition and the intersection structure of the job subsets. Complexity results, approximation schemes, heuristics and exact algorithms are discussed for single-machine and parallel-machine scheduling environments. Definitions and algorithms are illustrated with the help of examples and figures.

Includes bibliographical references and index.

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Description based on online resource; title from PDF title page (SpringerLink, viewed February 3, 2014).

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