将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
最后在算法性能测试中，本文将免疫算法得到的优化数值及收敛速度和传统的遗传算法进行了对比。
The numerical results obtained from the proposed method are compared with the outcomes gained by a common hybrid GA.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem with time Windows.
将数据场理论引入到计算机免疫的研究中，设计了一种识别器的构造方法及其动态识别算法。
A construction method of detector and its relevant dynamic recognition algorithm were put forward by introducing the data field theory to computer immunology.
最后对机器人的路径规划进行了研究，将神经网络和免疫进化算法共同应用于机器人的路径规划。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
寻找对尽可能多的攻击算法有免疫性的半色调图像的数字水印方法将持续成为研究的主要方向之一。
It would be one of the unremitting research works to seek watermarking methods for halftoned images that could resist as many attack algorithms as possible.
该算法将免疫原理引入到遗传算法中，提高了算法的整体性能。
The global performance of the algorithm is improved by introducing immunity theory into PGA.
将人工免疫算法应用于过程数据的分类处理，能有效地提取数据的有用信息，而且算法简单，处理迅速。
The application of artificial immune algorithm to process data analysis can effectively extract useful data in-formation. The algorithm structure is very simple together with fast speed.
将模拟退火算法中的退火策略引入到免疫克隆算法中，设计了求解模型的免疫克隆退火算法。
The immune clone annealing algorithm, which is designed by combining annealing tactic of simulated annealing algorithm and immune clone algorithm, is introduced to solve the proposed bi-level model.
论文将思维进化算法和免疫算法二者有机结合。
Mind Evolutionary Algorithm is organically combined with Immune Algorithm.
本文探索的课题就是将并行免疫算法融合在TSP问题的求解中。
This thesis explores how to integrate Immune Algorithm into solution of TSP.
对“一刀切”矩形件排样问题，提出一种将启发式递归与免疫克隆算法相结合的混合优化方法。
An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.
该算法将免疫原理引入到遗传算法中，提高了算法的整体性能。
The global performance of the algorithm is improved by introducing immunity theory into PGA. This is revealed in the following two aspects.
本文将一种新型的启发式算法——免疫算法用于解决该问题。
This paper uses a new heuristic algorithm-IA to solve this problem.
本文将一种新型的启发式算法——免疫算法用于解决该问题。
This paper uses a new heuristic algorithm-IA to solve this problem.
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