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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 ...
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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...
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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,...
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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...
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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...
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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...
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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...
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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...
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Article
Open AccessStructure 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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...