On optimization of polling policy represented by neural network.

On optimization of polling policy represented by neural network.

This paper deals with the problem of scheduling a server in a polling system with multiple queues and complete information. We represent the polling policy by a neural network; namely, given the number of waiting customers in each queue, the server determines next queue he should visit according to...

詳細記述

書誌詳細
出版年:Computer communication review. 24, 4 (1994).
第一著者: Matsumoto, Yutaka
フォーマット: 論文
言語:English
主題:
Computer systems organization.
Processor architectures.
Neural nets.
Theory of computation.
Analysis of algorithms and problem complexity.
Nonnumerical algorithms and problems.
Sequencing and scheduling.
Mathematics of computing.
Numerical analysis.
Queueing theory.
Algorithms.
Performance.
Theory.