研究一个具有溶免疫反应的病毒传染病模型的全局稳定性。
This paper investigates the global stability of a viral infection model with lytic immune response.
免疫算法具有较好的全局收敛性和很强的自适应环境的能力。
The immune algorithm has better global convergence and very strong self-adaptive ability to the environment.
算法中的免疫记忆单元确保了快速收敛于全局最优解，算法中的均匀交叉操作则体现了进化的思想。
The immune memory units guarantee this algorithm rapid convergence to global optimum and the uniform crossover operator embody the idea of evolution.
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