在网格服务中，为有效地在域内合理选取恰当的资源分配给“服务消费者”，提出了基于基因表达式编程的网格资源自学习选取算法。
In grid service, a new approach of the grid resource selecting Lased on Gene Expression Programming was proposed for aiming at grid resource domain split technique.
网格环境下的资源分配与调度是一个NP难问题，蚂蚁算法是解决这类问题的有效算法。
Resource allocation and task scheduling of Grid is an NP-hard problem. Ant algorithm has proved to be a kind of effective algorithm to solve this kind of problems.
通过假设网格环境和设置相应变量，基于博弈理论建立了网格资源分配机制和竞价策略博弈模型，并应用动态规划算法证明了纳什均衡的存在。
From assuming the grid environment and set variables, the thesis founded a grid resource allocate mechanism and a biding policy model, proved the existent of Nash Equilibrium.
该文首先对基于组合双向拍卖的网格资源分配与定价模型进行改进，提出以各类资源的单价定价的算法。
This paper firstly improves the combinatorial double auction based grid resource allocation and pricing model, and proposes a unit price based pricing algorithm.
该文首先对基于组合双向拍卖的网格资源分配与定价模型进行改进，提出以各类资源的单价定价的算法。
This paper firstly improves the combinatorial double auction based grid resource allocation and pricing model, and proposes a unit price based pricing algorithm.
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