Title: Irregular Graphics Nesting Algorithm in the Hull Construction Automatic Nesting System
Abstract: The paper discusses the irregular parts nesting problem based on an improved immune genetic algorithm, and a NIGA based on crowing mechanism is proposed. GA, an improved immune genetic algorithm, and NIGA are applied to practical experiments respectively to solve and optimize the nesting problem, and we compare the results. In solving the large-scale nesting problem, the application of immunity operator and niche genetic algorithm based on crowing mechanism improves the global optimization performance and velocity of convergence. The improved algorithms are effective and feasibility for solving the hull construction automatic nesting problem
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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