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Agnetis, Alessandro; Billaut, Jean-Charles; Gawiejnowicz, Stanislaw; Pacciarelli, Dario; Soukhal, Ameur - Multiagent Scheduling - 9783662506356 - V9783662506356
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Multiagent Scheduling

€ 119.34
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Description for Multiagent Scheduling Paperback. This book presents multi-agent scheduling models in which subsets of jobs sharing the same resources are evaluated by different criteria. It discusses complexity results, approximation schemes, heuristics and exact algorithms. Num Pages: 284 pages, 55 black & white illustrations, biography. BIC Classification: KJT; UY. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 444.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2016
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
284
Condition
New
Number of Pages
271
Place of Publication
Berlin, Germany
ISBN
9783662506356
SKU
V9783662506356
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Multiagent Scheduling
“It is very readable and precisely written. The major results are proved and 43 algorithmic descriptions are provided. The book contains also several numerical examples to illustrate the presented solution approaches. The book is recommended not only for researchers and practitioners working in scheduling, but also for graduate students since only basic knowledge in discrete mathematics, complexity theory, algorithms, and ... Read more

Goodreads reviews for Multiagent Scheduling


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