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Genetic algorithm in removing local NURBS surface irregularities using highlight lines

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Gyorgy GyureczAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1703 - 1704

https://doi.org/10.1145/1389095.1389418

Published: 12 July 2008 Publication History

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Abstract

Highlight lines are well known surface smoothness evaluation tools. This paper explains a method with which the designer is enabled to smooth surfaces, by adjusting its highlight lines. The adjustment of highlight lines is performed by replacing the defective parts with replacement curves of designer's will. The modified control points of the surface, which produces the desired replacement curves, are determined using a genetic algorithm. The method's advantages are represented by using better replacement curves and an algorithm which, no matter how complex the replacement curve is, can find modified control points in the absence of algebraic relations.

References

[1]

K. P. Beier, Y. Chen, Highlight-line algorithm for realtime surface-quality assessment. Computer-Aided Design, vol. 26(4), 1994, 268--277.

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[2]

C. Zhang, F. Cheng, Removing local irregularities of NURBS surfaces by modifying highlight lines. Computer-Aided Design, vol. 30 n.12, pp. 923--930, 1998.

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[3]

F. Herrera, M. Lozano, and J.L. Verdegay, Tackling realcoded genetic algorithms. Artificial Intelligence Review, vol. 12 n.4, august 1998, 265--319.

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Genetic algorithm in removing local NURBS surface irregularities using highlight lines
1. Applied computing
  1. Arts and humanities
    1. Architecture (buildings)
      1. Computer-aided design
  2. Physical sciences and engineering
    1. Engineering
      1. Computer-aided design

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Efficient NURBS surface fitting via GA with SBX for free-form representation

G1 continuity conditions of adjacent NURBS surfaces

G1 continuity conditions of adjacent NURBS surfaces

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G¹ continuity conditions of adjacent NURBS surfaces