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Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence

The year 2008 is a memorial year for Georgiy Voronoi (1868 -1908), with a number of events in the scientific community commemorating his tremendous contribution to the area of mathematics, especially number theory, through conferences and scientific gatherings in his honor. A notable event taking pl...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gavrilova, Marina L. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Studies in Computational Intelligence, 158
Subjects:
Engineering.
Artificial intelligence.
Engineering mathematics.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-85126-4
Table of Contents:
  • Part I: Introduction
  • Computational Geometry Methods in Computational Intelligence
  • Part II: Generalized Voronoi diagrams: state-of-the-art in Intelligent Treatment of Applied Problems
  • Shapes of Delaunay Simplexes and Structural Analysis of Hard Sphere Packing
  • The B-shape and B-complex for three-dimensional spheres in analysis of molecular structures
  • Computational Geometry Analysis of Quantum State Space and Its Applications
  • Efficient Swarm Neighborhood Management using the Layered Delaunay triangulation
  • Voronoi Diagram in the Curve Reconstruction Problem
  • A methodology for Automated Cartographic Data Input, Drawing and Editing using Kinetic Delaunay/Voronoi diagrams
  • Density-based Clustering based on Topological Properties of the Data Set
  • Modeling Optimal Beam Treatment with Weighted Regions for Bio-Medical Applications
  • Part III: Advanced Treatment of Topics of Special Interest
  • A New Initialization Method for Constructing Centroidal Voronoi Tessellations on Surface Meshes
  • Simulated Annealing and Genetic Algorithms in Quest of Optimal Triangulations
  • Using Line and Texture to Visualize Higher-Order Voronoi Diagrams
  • Robust Point Location in Generalized Voronoi Diagrams
  • Conclusions and Future Trends in Intelligent Treatment of Applied Problems.

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