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  1. No Access

    Chapter and Conference Paper

    A Hybrid Tabu Search Based Clustering Algorithm

    The clustering problem under the criterion of minimum sum of squares clustering is a nonconvex program which possesses many locally optimal values, resulting that its solution often falls into these traps. In ...

    Yongguo Liu, Yan Liu, Libin Wang, Kefei Chen in Knowledge-Based Intelligent Information an… (2005)

  2. No Access

    Chapter and Conference Paper

    Clustering with Noising Method

    The minimum sum of squares clustering problem is a nonconvex program which possesses many locally optimal values, resulting that its solution often falls into these traps. In this article, a recent metaheurist...

    Yongguo Liu, Yan Liu, Kefei Chen in Advanced Data Mining and Applications (2005)

  3. Chapter and Conference Paper

    A Novel Clustering Technique Based on Improved Noising Method

    In this article, the clustering problem under the criterion of minimum sum of squares clustering is considered. It is known that this problem is a nonconvex program which possesses many locally optimal values,...

    Yongguo Liu, Wei Zhang, Dong Zheng in Progress in Pattern Recognition, Image Ana… (2005)

  4. No Access

    Chapter and Conference Paper

    A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation

    A new tabu clustering method called ITCA is developed for the minimum sum of squares clustering problem, where DHB operation and mergence and partition operation are introduced to fine-tune the current solutio...

    Yongguo Liu, Dong Zheng, Shiqun Li, Libin Wang, Kefei Chen in Discovery Science (2005)

  5. No Access

    Chapter and Conference Paper

    An Improved Hybrid Genetic Clustering Algorithm

    In this paper, a new genetic clustering algorithm called IHGA-clustering is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. In IHGA-clustering, DHB operat...

    Yongguo Liu, Jun Peng, Kefei Chen, Yi Zhang in Advances in Artificial Intelligence (2006)

  6. No Access

    Chapter and Conference Paper

    A Novel Artistic Image Generation Technique: Making Relief Effects Through Evolution

    The fascinating effect of applying evolutionary algorithms (EAs) to real-world applications consists in its less requirement of knowledge of the applied domain. Many efforts on this idea lead to a new term Nature...

    **gsong He, Bo** Shi, Mingguo Liu in Advances in Computation and Intelligence (2007)

  7. No Access

    Chapter and Conference Paper

    Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints

    Multilayer perceptron networks have been successfully trai- ned by error backpropagation algorithm. We show that Particle Swarm Optimization(PSO) with minimum velocity constraints can efficiently be applied to...

    **aorong Pu, Zhongjie Fang, Yongguo Liu in Advances in Neural Networks – ISNN 2007 (2007)

  8. No Access

    Chapter and Conference Paper

    NOx Emission Characteristics in a DesiNOx Gned Premixed Burner

    Nitrogen oxides (NOx) formed in gas instantaneous water heater combustion systems is a significant pollutant source in the domestic environment. Advances in the science of reactions, mathematical modeling, and...

    FengGuo Liu, XueYi You, Qi Wang, Rui Zhang in Advances in Computer Science, Intelligent … (2011)

  9. Article

    Open Access

    Structure Evolution Based Optimization Algorithm for Low Pass IIR Digital Filter Design

    Digital filters are generally designed by identifying the transfer functions. Most researches are focused on the goal of approaching the desired frequency response, and take less additional consideration of st...

    Lijia Chen, Mingguo Liu, Jianfeng Yang in International Journal of Computational Int… (2017)

  10. Chapter and Conference Paper

    A Two-Field Finite Element Solver for Poroelasticity on Quadrilateral Meshes

    This paper presents a finite element solver for linear poroelasticity problems on quadrilateral meshes based on the displacement-pressure two-field model. This new solver combines the Bernardi-Raugel element f...

    Graham Harper, Jiangguo Liu, Simon Tavener in Computational Science – ICCS 2018 (2018)

  11. No Access

    Article

    A novel evolutionary method of structure-diversified digital filter design and its experimental study

    Digital filters are now key components in many modern digital systems. This paper proposed a novel evolutionary method to design structure-diversified digital filters. On the investigation of the existing evol...

    Mingguo Liu, Lijia Chen, **gsong He, Peiyu Zhang in Soft Computing (2018)

  12. No Access

    Article

    Ensemble biclustering gene expression data based on the spectral clustering

    Many biclustering algorithms and bicluster criteria have been proposed in analyzing the gene expression data. However, there are no clues about the choice of a specific biclustering algorithm, which make ensem...

    Lu Yin, Yongguo Liu in Neural Computing and Applications (2018)

  13. Chapter and Conference Paper

    deal.II Implementation of a Weak Galerkin Finite Element Solver for Darcy Flow

    This paper presents a weak Galerkin (WG) finite element solver for Darcy flow and its implementation on the deal.II platform. The solver works for quadrilateral and hexahedral meshes in a unified way. It approxim...

    Zhuoran Wang, Graham Harper, Patrick O’Leary in Computational Science – ICCS 2019 (2019)

  14. No Access

    Article

    Structure evolution-based design for low-pass IIR digital filters with the sharp transition band and the linear phase passband

    Digital filters are generally designed by identifying the transfer functions. Most researches are focused on the goal of approaching the desired frequency response and take less additional consideration of str...

    Lijia Chen, Mingguo Liu, **g Wu, Jianfeng Yang, Zhen Dai in Soft Computing (2019)

  15. Chapter and Conference Paper

    deal.II Implementation of a Two-Field Finite Element Solver for Poroelasticity

    This paper presents a finite element solver for poroelasticity in the 2-field approach and its implementation on the deal.II platform. Numerical experiments on benchmarks are presented to demonstrate the accurac...

    Zhuoran Wang, Jiangguo Liu in Computational Science – ICCS 2020 (2020)

  16. No Access

    Article

    Non-negative Matrix Factorization with Symmetric Manifold Regularization

    Non-negative matrix factorization (NMF) is becoming an important tool for information retrieval and pattern recognition. However, in the applications of image decomposition, it is not enough to discover the in...

    Shangming Yang, Yongguo Liu, Qiaoqin Li, Wen Yang, Yi Zhang in Neural Processing Letters (2020)

  17. No Access

    Article

    A structure evolution-based design for stable IIR digital filters using AMECoDEs algorithm

    This paper proposes a subsystem-based structure evolution algorithm for stable IIR digital filter design. The method designs the IIR digital filter through optimizing the filter structure. A filter structure i...

    Lijia Chen, Mingguo Liu, Zan Wang, Zhen Dai in Soft Computing (2020)

  18. No Access

    Article

    A novel design method for dual-passband IIR digital filters

    With the rapid development of wireless communication technology, digital filters are now key components in many modern digital systems. Dual-passband digital filter is an important module of digital filter and...

    Lijia Chen, **gfei Wang, Mingguo Liu, Chung-Hao Chen in Applied Intelligence (2020)

  19. No Access

    Article

    Motion planning for redundant robotic manipulators using a novel multi-group particle swarm optimization

    Metaheuristic optimization algorithms are widely used in motion planning of redundant robotic manipulators. Existing methods may converge to a local minimum. In this paper, a new multi-group particle swarm opt...

    Zikai Feng, Lijia Chen, Chung-Hao Chen, Mingguo Liu in Evolutionary Intelligence (2020)

  20. No Access

    Chapter and Conference Paper

    Enhanced Admittance Control for Time-Varying Force Tracking of Robots in Unknown Environment

    In this paper, we introduce admittance control as an approach to control the physical interaction between robot and environment, and propose an enhanced admittance controller (EAC) framework with a well-design...

    Chengguo Liu, Ye He, Kuan Li, Xue Zhao in Intelligent Robotics and Applications (2021)

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