文章基本信息

标题：Optimal Resource Allocation in Next Generation Network Services using Engineering Optimization with Linear Constraint Particle Swarm
作者：Hassan Yeganeh. Maryam Shakiba ; Mehdi Samie
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：11
页码：328-334
出版社：International Journal of Computer Science and Network Security
摘要：In this paper, we consider the problem of pricing for optimal resource allocation service using Engineering Optimization with Particle Swarm algorithm that ensures efficient resource allocation that provides guaranteed quality of service while maximizing profit in multiservice networks. We formulate our generalized optimization algorithm based on the notion of a ��profit center�� with an arbitrary number of service classes, linear revenue and nonlinear cost functions and general performance constraints. To ensure the resource constraint is satisfied, we incorporate adaptive resource bounds to guide the search. Specifically, we develop a fast, low complexity algorithm for online dynamic resource allocation, and examine its properties. Finally, its performance is evaluated through an extensive numerical study.
关键词：Nonlinear resource allocation problem; Adaptive resource bounds; particle swarm optimization; mathematical programming