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- Immune Evolutionary Algorithm (IEA) was a kind of evolution arithmetic based on Genetic Arithmetic (GA), which could strengthen the local search, and also considered the global search simultaneously. 免疫进化算法(IEA)是基于遗传算法(GA)的一种“加强局部搜索,兼顾全局搜索”的进化算法。
- The immune evolutionary algorithm (IEA) is a new optimization algorithm with many features developed on the basis of the existing evolutionary algorithm. 摘要免疫进化算法是在现有进化算法的基础上发展起来的一种新的优化算法，其具有许多独特的性能。
- The computation results of problems from TSP database indicate that the performance of improved QEA is superior to that of the conventional QEA and the immune evolutionary algorithm. 通过求解TSP问题库中的部分问题,表明改进的算法比经典的量子进化算法及免疫遗传算法具有更快的收敛速度和更好的全局寻优能力。
- The experimental results of the knapsack problem show that the performance of IQEA is superior to the conventional evolutionary algorithm, the immune evolutionary algorithm and QEA. 对背包问题的仿真实验表明,免疫量子进化算法的性能优于经典的进化算法、免疫进化算法、量子进化算法等3种算法。
- Making use of the ergodicity and internal randomicity of chaos iteration, a novel chaos immune algorithm (CIA) is presented to improve the convergence performance of the immune evolutionary algorithm. 摘要利用混沌迭代的遍历性和内在随机性，提出一种混沌免疫优化组合算法。
- Second, based on SIEA, we propose two improved algorithms respectively, which are the IEA-BIT(Immune Evolutionary Algorithm Based on Interval Transition) and IEA-BNR(Immune Evolutionary Algorithm Based on Network Regulation). 其次，在简单免疫进化算法的基础上，分别提出了两种改进算法，即基于区间变换的免疫进化算法和基于网络调节的免疫进化算法。
- immune evolutionary algorithm(IEA) 免疫进化算法
- immune evolution algorithm 免疫进化算法
- Research of an Integrated Immune Evolutionary Algorithm and its Convergence Property 一种集成免疫进化算法及其收敛性研究
- Applying Projection Pursuit Cluster Based on Immune Evolutionary Algorithm in Groundwater Regime Classification 基于免疫进化算法的投影寻踪聚类及其在地下水动态分类中的应用
- Universal Immune Evolutionary Algorithm for Interval-Constrained Optimization Problems 域约束优化问题的普适免疫进化算法
- Immune Evolutionary Algorithm and Its Application to Calculation of Water Surface Profile 免疫进化算法及其在水面曲线计算中的应用
- This paper uses an immune evolution strategy to solve quadratic assignment problems. 利用一种免疫进化策略算法来求解二次布局问题。
- Immune evolutionary algorithm and its application to parameters optimization in storm intensity formula 免疫进化算法及其在暴雨强度公式参数优化中的应用
- These algorithms are compared with other evolution algorithms, and the prospect of artificial immune system used in robotics is given. 与其它进化算法做了比较，并展望了进一步的研究方向。
- Keywords Immune Evolutionary Algorithm （IEA）;water environment;assessment;optimization;least square mthod;Accelerating Genetic Algorithm （AGA）; 免疫进化算法;水环境质量;评价;优化;最小二乘法;加速遗传算法;
- An algorithm based on the immune evolutionary computation (IEC) is proposed to evaluate sphericity error. 提出一种新颖的免疫进化计算方法(IEC)用于球度误差评定。
- IDEP algorithm also takes the network training process as an optimization problem. Differing from CO method, IDEP algorithm is based on the differential evolution algorithm. 算法也将网络训练作为一个优化问题来处理，与有约束优化方法不同的是，它是建立在差分进化算法的基础上，通过对一个群体不断进行选择、杂交和变异操作，使之逐步进化，最终找到优化解。
- We formulate the design problem as a constrained parametric optimization and apply a differential evolution algorithm to search globally the optimal controller parameters. 此设计问题将表示成含条件式之参数最适化，而微分演化演算法将应用于搜寻全域之最适控制参数。
- For complex functions with high dimensions，a New Differential Evolution algorithm（NDE） based on the variance of the population’s fitness is presented. 摘要 针对高维复杂函数的优化问题，提出了一种新的差分进化算法（NDE）。
