Optimization Design of the Crane Girder Based on Adaptive Genetic Algorithm

Peng Fei Wang; Xiu Hui Diao

doi:10.4028/www.scientific.net/AMR.591-593.123

Paper Titles

A Design of a Small Self-Propelled Mower by Building the Key Curves Based on the Internal Structure
p.106

The Form Beauty of Product Form Design – The Unity and Variety
p.112

On the Three-Dimensional Relationship of Design, Consumption Psychology and Social Development in Green Packaging
p.115

Plastic End Cap Injection Tool Design and Molding Analysis Based on Software Ug and Moldflow
p.119

Optimization Design of the Crane Girder Based on Adaptive Genetic Algorithm
p.123

Design and Analysis of Folding Mechanism for a New Folding Car
p.127

Multidisciplinary Design Optimization for an Earth Observation Satellite
p.132

Study on the Strength Design for Steel Hourglass Worm Pairs of Track Tension Adjustor on Special Vehicles
p.136

Design of the Quad-Redundant Generators Based on CAN-Bus and Nonlinear PID
p.140

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Optimization Design of the Crane Girder Based on Adaptive Genetic Algorithm

Abstract:

With taking weight of single main beam of gantry crane as objective function, and taking main beam upper & lower cored, diagonal & horizontal bracing, and width & weight as design variable, this essay adopted population diversity adaptive genetic algorithm to optimize its structure and improved program design through MATLAB. This algorithm could accelerate convergence speed, which make much it easier to realize comprehensive optimal solution, since it effectively avoided weakness of basic genetic algorithm, such as partial optimal solution, prematurity and being lack of continuity, etc.