Abstract
By reasonably allocating a cooperative problem which need multiple solvers cope with together, the problem could be performed more effectively and efficiently. A problem could be divided into multiple sub-problems; each has certain ability requirement which is the hinge to relate problem and solver. According to ability requirement, the solver candidate set for each sub-problem could be established. To select suitable solver from candidate set so as to solve a cooperative problem in more autonomous and consistent way, a mathematical allocation model taking the minimization of interaction number as objective function is established. The model solving process is deployed by decreasing two kinds of interactions, i.e. intra-interaction and extra-interaction. Experiment shows this method obtains better performance than general allocation.
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© 2005 Springer-Verlag Berlin Heidelberg
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Liu, X., Dou, W., Chen, G., Cai, S., Tang, J. (2005). Autonomous-Centered Problem Allocation Oriented to Cooperation. In: Cao, J., Nejdl, W., Xu, M. (eds) Advanced Parallel Processing Technologies. APPT 2005. Lecture Notes in Computer Science, vol 3756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573937_12
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DOI: https://doi.org/10.1007/11573937_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29639-3
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