...分析,最后提出基于并行基因表达式编程的网格资源分配算法(Grid Resource Allocation Algorithm based on Parallel GEP,GRA-PGEP).该算法采用了基于资源与任务相关的非线性的编码方式和反转操作,同时应用粗粒度模型设计了该算法.
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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.
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