Click Here to Download: https://ouo.io/cdlhQ2 Multiagent Scheduling Models and Algorithms By: Alessandro Agnetis; Jean-Charles Billaut; Stanisław Gawiejnowicz; Dario Pacciarelli; Ameur Soukhal Publisher: Springer Print ISBN: 9783642418792, 3642418791 eText ISBN: 9783642418808, 3642418805 Copyright year: 2014 Format: EPUB Available from $ 109.00 USD SKU 9783642418808 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.
