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Research of an Artificial Immune Algorithm and Its application in Function Optimization

机译:人工免疫算法及其在功能优化中的应用研究

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We proposed an artificial immune algorithm to function in this paper. It through computes the function value to estimate the antibody affinity. The antibody corresponds to the question solution. the more perfect antibody corresponds to the optimal solution. It is unsupervised learning, it is easy to stabilization. When being used in function optimization, the results show that it has fascinating ability in optimization.
机译:我们提出了一种人工免疫算法在本文中起作用。它通过计算功能值来估计抗体亲和力。抗体对应于问题解决方案。更完美的抗体对应于最佳解决方案。它是无人监督的学习,很容易稳定。在功能优化中使用时,结果表明它具有令人着迷的优化能力。

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