Research on Genetic Algorithm in Mold Optimization Design

Xi Chen; Bao Sheng Zhao

doi:10.4028/www.scientific.net/AMM.397-400.1030

Paper Titles

The Study of Induction Setter Based on Low Density Parity Check Coding Method
p.1010

Correction of the Asymmetrical Projection for Accurate Camera Calibration Using Co-Planar Circular Feature
p.1016

Enhanced Two-Point Exponential Approximation for Structural Optimization
p.1021

Hardware Design of the Agricultural Greenhouse Internet of Things Monitor Terminal
p.1025

Research on Genetic Algorithm in Mold Optimization Design
p.1030

Optimization Design Study of Loader Working Mechanism Based on MATLAB Complex Method
p.1034

Prediction of the Metro Section Passenger Flow Based on Time-Space Characteristic
p.1038

The Optimization of Piston Groove Diameter Based on ABAQUS
p.1045

Research on Object-Oriented System Model Based on Feature
p.1050

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Research on Genetic Algorithm in Mold Optimization...

Research on Genetic Algorithm in Mold Optimization Design

Abstract:

Species evolution model in natural is introduced into the genetic algorithm to reflect the true laws of evolution. A multi-population genetic algorithm based on species evolution is developed. In the algorithm, the parameters of species evolution model are considered as design variables, and the equation is regarded as modified arithmetic crossover operator to participate in genetic operation. Immigration operator is used to promote convergence and enhance the ability of search optimal solution. The improved genetic algorithm is applied to mold optimization design to search the optimal gate location. The examples indicate that this algorithm can effectively solve the mold optimization problem.