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n元蚁群算法求解组卷问题 被引量:4

n multiple ant colony algorithm for composing test paper problem
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摘要 组卷问题是一个多约束目标问题的求解。通过分析组卷的数学模型及目标函数,抽象出组卷模型实质是一个多目标线性规划模型,并在二元蚁群算法基础上,设计了一种求解组卷问题的n元蚁群算法,并与贪心算法相结合,对非法个体进行合理化修正。实验结果表明,该算法很好的解决了一次产生多套满足要求的标准化试卷,具有较强的实用性。 The test paper problem is to be solved with multi-target constraints.Through analyzing the mathematical model and objective function of the test paper problem,this article abstracts that the composing test paper model is really a multi-objective linear programming model.On the basis of the binary ant colony algorithm,a n multiple ant colony algorithm is designed for the problem,also the greedy algorithm is involved to revise the illegal individuals.Experiments show that the algorithm can solve the producing of the multiple sets of standardized papers effectively and it also has the more capability and utility .
出处 《计算机工程与应用》 CSCD 北大核心 2008年第19期223-226,共4页 Computer Engineering and Applications
基金 国家自然科学基金(the National Natural Science Foundation of China under Grant No.60272034 No.60472099) 浙江省自然科学基金(the Natural Science Foundation of Zhejiang Province of China under Grant No.Y106080)
关键词 n元蚁群算法 多目标线性规划模型 试题组卷 贪心算法 n multiple ant colony algorithm multi-objective linear programming model test paper greedy algorithm
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参考文献5

  • 1Dorigo M,Caro G D.Ant colony optimization:a new meta-heuristic[C]//Proceedings of the 1999 Congress on Evolutionary Computation, Washington, DC, USA, 1999 : 1470-1477.
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二级参考文献8

  • 1Dorigo M,Caro G D.Ant colony optimization:A new meta-heuristic.In:Proceedings of the 1999 Congress on Evolutionary Computation.Washington,DC,USA,1999,1470~1477.
  • 2Dorigo M,Gambardella L M.Ant colony system:A cooperative learning approach to the traveling salesman problem.IEEE Transactions on Evolutionary Computation,1997,1(1):53~66.
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  • 7张铃,程军盛.松散的脑袋——群体智能的数学模型[J].模式识别与人工智能,2003,16(1):1-5. 被引量:13
  • 8李庆华,李肯立,蒋盛益,张薇.背包问题的最优并行算法[J].软件学报,2003,14(5):891-896. 被引量:16

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