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机构地区:[1]国防大学信息作战与指挥训练教研部,北京100091
出 处:《现代防御技术》2009年第3期73-76,共4页Modern Defence Technology
摘 要:人工免疫算法是新兴的智能计算方法,已被用于解决网络安全、模式识别、函数优化、遗传算法等领域的问题。为解决传统火力分配模型不易求解的问题,将人工免疫算法引入其中。简要分析了火力分配问题的数学模型,采用类比的方法构造了相应的人工免疫算法,比较了人工免疫算法和遗传算法的异同,并用人工免疫算法求解了该问题。结果表明该方法计算速度快、精度高,为解决火力分配问题提供了参考。As a novel intelligent computing research field, artificial immune algorithm (AIA)has been used in solving problems, such as network security, pattern recognize, function optimization, genet- ic algorithm (GA) etc. To solve the difficulty in calculation with traditional fire assignment model, an artificial immune algorithm of fire assignment was introduced. The mathematic model of fire assignment was analyzed and a corresponding artificial immune algorithm was constructed by way of analogy. Artificial immune algorithm and genetic algorithm were compared to find similarities and differences. Then, a typi- cal fire assignment problem was solved with AIA. The result proves that artificial immune algorithm is of high speed and high fidelity to solve fire assignment problems and provides references to solve such prob- lems.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] E83[自动化与计算机技术—控制科学与工程]
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