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基于混合遗传算法的染色优化模型与仿真
35 22 2009 11
Vol.35 No.22 Computer Engineering November 2009
·· 2009 A TP301.6
( 362000)
8.8%
Model and Simulation of Dyeing Optimization
Based on Hybrid Genetic Algorithm
WANG Lan
(Department of Mechanical and Electrical Engineering, Liming Vocational University, Quanzhou 362000)
AbstractIn order to solve the problems of the design and optimization of dyeing technology, a mathematic model is established based on the
objective function of minimum cost. Considering the characteristic of nonlinearity of model, a hybrid genetic algorithm combined with self-adaptive
penalty function and crossover are applied to conduct the optimization calculation and simulation. Experimental result shows that the productive cost
is reduced 8.8% based on the optimal parameters. The effectiveness and the good performance of the optimal model and algorithm are demonstrated,
and it is very useful for prediction of the cost and the selection of dyeing parameters.
Key wordsdyeing technology; optimization design; hybrid genetic algorithm; self-adaptive penalty function; self-adaptive crossover
1 2.1
5 f 1 , f 2 , f 3 , f 4 , f 5
[1-2] f min f 1 +f 2 +f 3 +f 4 +f 5
[3] 2.2
x1 , x2 , x3 , x4 , x5 , x6 , x7
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