The NIGA with the Clustering Idea for Solving the Packing Problem in the Hull Construction Automatic Packing System

The paper discusses the irregular parts packing problem based on an improved immune genetic algorithm, and a NIGA based on crowing mechanism is proposed. For improving the packing efficiency, the clustering idea and algorithm are introduced and the effective characteristics of matching packing-graphics are extracted and analyzed. GA, an improved immune genetic algorithm, and NIGA are applied to practical experiments respectively to solve the packing problem and optimize the results, and we compare the results. In solving the large-scale packing 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 packing problem.