同步协作信息检索模型及其机制研究

通过分析当前用户协作信息检索的相关理论和系统实践,总结其中存在的一些问题,确定用户同步协作检索中要解决的三个关键问题:检索任务的分配、群组查询历史的重用和协作感知,提出一个用户同步协作信息检索模型,并在该模型中对要解决的这三方面的问题进行阐述

Evolutionary algorithms in dynamic environments

The file attached to this record is the author's final peer reviewed version.Evolutionary algorithms (EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the course of computation. However, the environments of real world optimization problems may fluctuate or change sharply. If the optimization problem is dynamic, the goal is no longer to find the extrema, but to track their progression through the search space as closely as possible. All kinds of approaches that have been proposed to make EAs suitable for the dynamic environments are surveyed, such as increasing diversity, maintaining diversity, memory based approaches, multi-population approaches and so on