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9 Result(s)

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  1. No Access

    Chapter and Conference Paper

    EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula

    Estimation of distribution algorithms (EDAs) are a class of evolutionary optimization algorithms based on probability distribution model. This article extends the basic EDAs for tackling multi-objective optimi...

    Ying Gao, Lingxi Peng, Fufang Li, Miao Liu… in Advances in Neural Networks – ISNN 2013 (2013)

  2. No Access

    Chapter and Conference Paper

    An Architecture for Cloud Computing and Human Immunity Based Network Intrusion Detection

    Traditional intrusion detection system is confronted with the pressure of processing massive network traffic data which increases sharply. Besides, its feature of static detection causes the weak adaptability ...

    Caiming Liu, Chunming **e, Yan Zhang, Qin Li… in Artificial Intelligence and Computational … (2012)

  3. No Access

    Chapter and Conference Paper

    Velocity-Free Multi-Objective Particle Swarm Optimizer with Centroid for Wireless Sensor Network Optimization

    A velocity-free multi-objective particle swarm optimizer with centroid is proposed and applied to optimization of wireless sensor network. Different from the standard PSO, particles in swarm only have position...

    Ying Gao, Lingxi Peng, Fufang Li, MiaoLiu… in Artificial Intelligence and Computational … (2012)

  4. No Access

    Chapter and Conference Paper

    Opposition-Based Learning Estimation of Distribution Algorithm with Gaussian Copulas and Its Application to Placement of RFID Readers

    Estimation of distribution algorithms are a class of optimization algorithms based on probability distribution model. In this paper, we propose an improved estimation of distribution algorithm using opposition...

    Ying Gao, **ao Hu, Huiliang Liu, Fufang Li… in Artificial Intelligence and Computational … (2011)

  5. No Access

    Chapter and Conference Paper

    Document Classification with Multi-layered Immune Principle

    Automatic document classification is helpful in both organizing and finding information on huge resources. A novel multi-layered immune based document classification algorithm is presented. First, we represent...

    Chunlin Liang, Yindie Hong, Yuefeng Chen, Lingxi Peng in Advances in Swarm Intelligence (2010)

  6. No Access

    Chapter and Conference Paper

    Quantum Immune Algorithm and Its Application in Collision Detection

    Collision detection is very important to improve the truth and immersion in the virtual environment. Firstly the paper analyzes the problems that exist in traditional algorithms. There is no algorithm suitable...

    Jue Wu, Ling** Peng, LiXue Chen, Lei Yang in Life System Modeling and Intelligent Computing (2010)

  7. No Access

    Chapter and Conference Paper

    Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection

    Collision detection is very important for improving the truth and immersion in the virtual environment. The paper analyzes the problems that exist in the normal algorithm. And there is no algorithm which is su...

    Jue Wu, LiXue Chen, Lei Yang, Ling** Peng in Advanced Intelligent Computing Theories an… (2010)

  8. No Access

    Chapter and Conference Paper

    A Collision Detection Algorithm Based on Self-adaptive Genetic Method in Virtual Environment

    Collision detection is very important to enhance the sense of reality and immersion in virtual environment. Most of the traditional collision detection algorithms have been analyzed, but there is no algorithm ...

    Jue Wu, Lixue Chen, Lei Yang, Qunyan Zhang, Lingxi Peng in Advances in Swarm Intelligence (2010)

  9. No Access

    Chapter and Conference Paper

    An English Letter Recognition Algorithm Based Artificial Immune

    In the study of letter recognition, the recognition accuracy is impacted by fonts and styles, which is the main bottleneck that the technology is applied. In order to enhance the accuracy, a letter recognition...

    Chunlin Liang, Lingxi Peng, Yindie Hong… in Advances in Neural Networks – ISNN 2009 (2009)