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国家自然科学基金(60703108)

作品数:16 被引量:104H指数:6
相关作者:焦李成李阳阳陈兆平智建纬韩红更多>>
相关机构:西安电子科技大学教育部更多>>
发文基金:国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划更多>>
相关领域:自动化与计算机技术理学生物学医药卫生更多>>

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16 条 记 录,以下是 1-10
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项目优化调度的多智能体社会进化算法被引量:12
2008年
结合多智能体系统、进化算法以及关系网模型,提出了一种多智能体社会进化算法用于求解项目活动的一个最优调度顺序以使整个工程的工期最短.每个智能体生存于环境中,为了增加自身能量将与其邻域展开竞争及协同操作,同时可利用自身的知识进行自学习来增加能量.根据项目优化调度的问题特点,设计了智能体的竞争行为、协同行为以及自学习行为.通过对PSPLIB中的标准问题进行测试,同时与其他启发式算法相比较的仿真实验结果表明该算法具有良好的性能,能在较短的时间内寻找到十分接近"最优解"的调度序列.
潘晓英焦李成
关键词:资源受限项目调度多智能体系统关系网模型
Intelligent multi-user detection using an artificial immune system被引量:5
2009年
Artificial immune systems (AIS) are a kind of new computational intelligence methods which draw inspiration from the human immune system. In this study, we introduce an AIS-based optimization algorithm, called clonal selection algorithm, to solve the multi-user detection problem in code-division multipleaccess communications system based on the maximum-likelihood decision rule. Through proportional cloning, hypermutation, clonal selection and clonal death, the new method performs a greedy search which reproduces individuals and selects their improved maturated progenies after the affinity maturation process. Theoretical analysis indicates that the clonal selection algorithm is suitable for solving the multi-user detection problem. Computer simulations show that the proposed approach outperforms some other approaches including two genetic algorithm-based detectors and the matched filters detector, and has the ability to find the most likely combinations.
GONG MaoGuo, JIAO LiCheng, MA WenPing & MA JingJing Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China
量子协同免疫算法用于SAT问题的求解被引量:3
2009年
根据协同策略和量子免疫计算理论,提出一种求解SAT问题的量子协同免疫算法。该算法在将SAT问题转化为函数优化问题的基础上,采用多个子种群。分别采用量子比特编码来表达个体,采用通用的量子旋转门策略演化个体,采用量子交叉操作阻止早熟收敛;各种群独立演化,同时引入量子协同理论,采用协同算子使得算法的搜索效率更高。实验采用标准SATLAB库中的3 700个不同规模的问题对算法进行测试,并与简单克隆选择算法、量子遗传算法、量子免疫克隆选择算法进行比较。结果表明,量子协同免疫算法的平均成功率最高,平均运行时间和平均评价次数最少。
吴秋逸李阳阳焦李成
关键词:SAT问题人工免疫系统
CLUSTERING VIA DIMENSIONAL REDUCTION METHOD FOR THE PROJECTION PURSUIT BASED ON THE ICSA
2010年
The performance of the classical clustering algorithm is not always satisfied with the high-dimensional datasets, which make clustering method limited in many application. To solve this problem, clustering method with Projection Pursuit dimension reduction based on Immune Clonal Selection Algorithm (ICSA-PP) is proposed in this paper. Projection pursuit strategy can maintain consistent Euclidean distances between points in the low-dimensional embeddings where the ICSA is used to search optimizing projection direction. The proposed algorithm can converge quickly with less iteration to reduce dimension of some high-dimensional datasets, and in which space, K-mean clustering algorithm is used to partition the reduced data. The experiment results on UCI data show that the presented method can search quicker to optimize projection direction than Genetic Algorithm (GA) and it has better clustering results compared with traditional linear dimension reduction method for Principle Component Analysis (PCA).
Gou Shuiping Feng Jing Jiao Licheng
Medical Image Segmentation Based on Immune Clonal Optimization
Based on the clonal selection theory of Artificial Immune System,a novel optimal entropy threshold medical ima...
Wenping Ma
一种结构自适应免疫抗体竞争网络的非监督图像分割被引量:3
2008年
提出一种新的结构自适应免疫抗体竞争网络,无须预先设定聚类数目,实现了完全非监督的图像分割.基于自组织特征映射神经网络的基本概念,提出一个新的免疫抗体邻域概念,增强了网络的鲁棒性.根据大脑皮层长期记忆的形成原理提出一个长期记忆因子,提高了算法收敛的速度.为了抑制噪声抗原对抗体网络的影响,提出3种抗体死亡操作.以上这些改进措施可使生成的抗体网络更好地反映抗原的分布特征,得到自适应的网络结构.将此算法用于合成纹理图像、遥感图像和合成孔径雷达图像的分割,都取得了较好的分割结果.
黄文龙焦李成贾建
关键词:人工免疫网络结构自适应数据聚类
Multiobjective optimization using an immunodominance and clonal selection inspired algorithm被引量:10
2008年
Based on the mechanisms of immunodominance and clonal selection theory, we propose a new multiobjective optimization algorithm, immune dominance clonal multiobjective algorithm (IDCMA). IDCMA is unique in that its fitness values of current dominated individuals are assigned as the values of a custom distance measure, termed as Ab-Ab affinity, between the dominated individuals and one of the nondominated individuals found so far. According to the values of Ab-Ab affinity, all dominated individuals (antibodies) are divided into two kinds, subdominant antibodies and cryptic antibodies. Moreover, local search only applies to the subdominant antibodies, while the cryptic antibodies are redundant and have no function during local search, but they can become subdominant (active) antibodies during the subsequent evolution. Furthermore, a new immune operation, clonal proliferation is provided to enhance local search. Using the clonal proliferation operation, IDCMA reproduces individuals and selects their improved maturated progenies after local search, so single individuals can exploit their surrounding space effectively and the newcomers yield a broader exploration of the search space. The performance comparison of IDCMA with MISA, NSGA-Ⅱ, SPEA, PAES, NSGA, VEGA, NPGA, and HLGA in solving six well-known multiobjective function optimization problems and nine multiobjective 0/1 knapsack problems shows that IDCMA has a good performance in converging to approximate Pareto-optimal fronts with a good distribution.
GONG MaoGuoJIAO LiChengMA WenPingDU HaiFeng
关键词:IMMUNODOMINANCE
Clustering-based Selection for Evolutionary Multi-objective Optimization
In this study,a novel clustering-based selection strategy of nondominated individuals for evolutionary multiob...
Maoguo Gong Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China
关键词:SELECTION
量子免疫克隆多目标优化算法被引量:11
2008年
该文基于免疫系统的免疫优势概念和抗体克隆选择学说,采用量子位编码,提出了一种量子免疫克隆多目标优化算法,并对算法进行了理论分析;与RWGA、SPEA和MISA等算法的比较表明,该算法对低维多目标优化问题更有效。
李阳阳焦李成
关键词:人工免疫系统多目标优化
基于模糊推理的机动目标跟踪被引量:4
2009年
针对"当前"统计模型算法对目标强机动时跟踪精度下降的问题,提出一种改进算法。该算法在"当前"统计模型的基础上,采用双滤波器并行结构,提取目标的状态信息,使用模糊推理的方法求解调节因子,通过调节因子实时调整滤波器的预测协方差,在保证对目标弱机动跟踪精度的同时,提高了目标发生强机动时的跟踪精度。仿真结果表明目标强机动时,该算法的跟踪精度明显高于"当前"统计模型算法。
韩红陈兆平焦李成智建纬
关键词:目标跟踪模糊推理卡尔曼滤波
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