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A genetic algorithm for the minimum weight triangulation

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3 Author(s)
Kaihuai Qin ; Dept. of Comput. Sci., Hong Kong Univ., Hong Kong ; Wenping Wang ; Minglun Gong

In this paper, a new method for the minimum weight triangulation of points on a plane, called genetic minimum weight triangulation (GMWT), is presented based on the rationale of genetic algorithms. Polygon crossover and its algorithm for triangulations are proposed. New adaptive genetic operators, or adaptive crossover and mutation operators, are introduced. It is shown that the new method for the minimum weight triangulation can obtain more optimal results of triangulations than the greedy algorithm

Published in:

Evolutionary Computation, 1997., IEEE International Conference on

Date of Conference:

13-16 Apr 1997

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