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.
研究了免疫响应系统无病平衡点和正平衡点的全局稳定性问题。
The global stability of the disease-free equilibrium and the epidemic equilibrium in the immune-response system is studied.
基于免疫算法原理和可靠度指标的几何涵义，提出了计算岩土工程可靠度指标和设计验算点的全局优化算法。
Based on the immune algorithm and geometric implication of the reliability index, a global optimization method was put forward to calculate the reliability index.
第二种是基于免疫克隆选择算法的组播路由算法，该算法利用了免疫克隆选择算法全局搜索能力，提高组播树的性能。
The second one is multicast routing algorithm based on Clone Selection algorithm, Clone Selection algorithm is a global optimization algorithm and can improve the performance of multicast tree.
在求解全局优化问题时，通常免疫算法、进化扩散算法分别在局部搜索和全局搜索方面表现较弱。
In solving global optimization, immune algorithm is usually weak in local search, while evolutionary diffusion optimization is weak in global search.
在求解全局优化问题时，通常免疫算法、进化扩散算法分别在局部搜索和全局搜索方面表现较弱。
In solving global optimization, immune algorithm is usually weak in local search, while evolutionary diffusion optimization is weak in global search.
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