大规模分布式资源搜索技术研究进展*

针对分布式资源搜索技术及其分类的特点，分别从基于网格的搜索技术的穷举式、集中式、路由式，以及基于P2P系统的搜索技术的集中式、全分布式非结构化、混合式、全分布式结构化等几个方面，对当前研究的分布式资源搜索技术进行了归纳总结，并且对该研究领域需要解决的问题进行了总结，对进一步研究的方向进行了展望。

Survey on resource search technology in large-scale distributed network

The optimization problem under uncertainty because of its closer to the real world environment, thus have become a growing reasearch area recently. This paper thoroughly reviewed ant colony optimization algorithms, and their applications to the class of stochastic combinatorial optimization problems under uncertainty conditions. Firstly, introduced the conceptual classification model for combinatorial problems under uncertainty conditions and a general definition for the stochastic combinatorial optimization problem. Then, pointed out the main difference between stochastic combinatorial optimization problem and deterministic combinatorial optimization problem, that was the computation of the objective function under uncertainty, and then summarized the current solutions for solvins this problem. Finally, proposed several possible research directions and the expectations of the development in this area.