Uniform crossover in genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
A data reduction scheme for triangulated surfaces
Computer Aided Geometric Design
Machine learning: neural networks, genetic algorithms, and fuzzy systems
Machine learning: neural networks, genetic algorithms, and fuzzy systems
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Integrated Computer-Aided Engineering
Modelling from reality
Distributed Computer-Aided Engineering: For Analysis, Design, and Visualization
Distributed Computer-Aided Engineering: For Analysis, Design, and Visualization
Efficient Triangular Surface Approximations Using Wavelets and Quadtree Data Structures
IEEE Transactions on Visualization and Computer Graphics
A Survey of Polygonal Simplification Algorithms
A Survey of Polygonal Simplification Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
VIS '93 Proceedings of the 4th conference on Visualization '93
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Multiobjective Evolutionary Algorithms and Applications (Advanced Information and Knowledge Processing)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Extracting feature lines from unstructured meshes using a model feature map
Integrated Computer-Aided Engineering
Surface modeling using multi-view range and color images
Integrated Computer-Aided Engineering
Accurate integration of multi-view range images using k-means clustering
Pattern Recognition
Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms
Information Sciences: an International Journal
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Perceptually Guided Polygon Reduction
IEEE Transactions on Visualization and Computer Graphics
Adaptive Mesh Simplification Using Vertex Clustering with Topology Preserving
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 02
Editorial introduction to the special issue on evolutionary computer vision
Evolutionary Computation
Performance evaluation of memetic approaches in 3D reconstruction of forensic objects
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Emerging Trends in Soft Computing - Memetic Algorithms; Guest Editors: Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
Information Sciences: an International Journal
An incremental-encoding evolutionary algorithm for color reduction in images
Integrated Computer-Aided Engineering
Automatic image search based on improved feature descriptors and decision tree
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering - Data Mining in Engineering
Intelligent Computer Graphics 2011
Intelligent Computer Graphics 2011
Evolutionary computation applied to mesh optimization of a 3-Dfacial image
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Evolutionary Computation
Optimising operational costs using Soft Computing techniques
Integrated Computer-Aided Engineering
A low-cost 3D human interface device using GPU-based optical flow algorithms
Integrated Computer-Aided Engineering
A quadsection algorithm for grammar-based image compression
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
A wavelet-based particle swarm optimization algorithm for digital image watermarking
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Causally-guided evolutionary optimization and its application to antenna array design
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
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Polygonal surface models are typically used in three dimensional 3D visualizations and simulations. They are obtained by laser scanners, computer vision systems or medical imaging devices to model highly detailed object surfaces. Surface mesh simplification aims to reduce the number of faces used in a 3D model while keeping the overall shape, boundaries and volume. In this work, we propose to deal with the 3D open model mesh simplification problem from an evolutionary multi-objective viewpoint. The quality of a solution is defined by two conflicting objectives: the accuracy and the simplicity of the model. We adapted the Non-Dominated Sorting Genetic Algorithm II NSGA-II and the Multi-Objective Evolutionary Algorithm Based on Decomposition MOEA/D to tackle the problem. We compare their performance with two classic approaches and two single-objective implementations. The comparison has been carried out using six different datasets from six corresponding real-world objects. Experimental results have demonstrated that NSGA-II and MOEA/D performs similarly and obtain the best solutions for the studied problem.