The Optimization Model of Examination and Invigilation Arrangement Based on Genetic Algorithms

机译：基于遗传算法的考场安排优化模型

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Given the resource of teacher,classroom and subjects of exam,examination and invigilation arrangement is a sort of issues which deal with how to manage time with reason. Basically it belongs to mathematic programming problems of multi-objective,subjected to the given constraints. However in practice,it is more likely to be involved into NP difficult problems due to its abundant variable factors,information and complexity in time. In comparison to the traditional mathematic programming algorithms of multi-objective which cannot provide an ideal solution,this article tries to apply the Genetic Algorithms on our project,combining the way of classical mathematic programming algorithms of multi-objective,and provide a common solution to kindred problems as well as simplifying the difficulty of the problem.

机译：鉴于教师，教室和考试科目的资源，考试和监考安排是一种有关如何理智地安排时间的问题。基本上，它属于多目标数学编程问题，但要受到给定的约束。然而在实践中，由于其丰富的可变因素，信息和时间复杂性，它更容易卷入NP难题。与无法提供理想解决方案的传统多目标数学规划算法相比，本文尝试将遗传算法应用到我们的项目中，结合经典的多目标数学规划算法的方法，为解决该问题提供了一个通用的解决方案。产生问题以及简化问题的难度。

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《International conference on future computer, control and communication;FCCC 2010》|2010年|p.220-223|共4页
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作者
Wang Yunwu;
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中图分类计算技术、计算机技术;计算技术、计算机技术;
关键词
Genetic Algorithms; mathematic; programming of multi-objective; Fitness function Penalty factor;

机译：遗传算法;数学;多目标程序设计;健身函数;罚因子;

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The Optimization Model of Examination and Invigilation Arrangement Based on Genetic Algorithms

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