Burdening optimization problem of high-precision copper strips based on NSGA II algorithm

作者：Zhang Hao^*; Zhu Yun Long; Chang Chun Guang

来源：Control and Decision, 2012, 27(7): 1071-1076.

• Burdening
• Burn up
• Copper strips
• High-precision
• Lagrangian relaxation method
• Multi objective optimizations (MOO)
• Non-dominated sorting genetic algorithms
• NSGA-II
• NSGA-II algorithm
• Optimization problems
• Pareto solution
• Solving method

To achieve burdening optimization of high-precision copper strips, a model for burdening optimization is established on the principle of the actual burdening, including cutting down cost, reducing metal burn-up, reusing old copper stuff, meeting the demand of substitutive degree of kinds of old copper stuff and so on. The model is converted by using Lagrangian relaxation method. For the model of burdening optimization, a solving method based on non-dominated sorting genetic algorithm II (NSGA II) algorithm is designed and the research is focused on chromosome representation, comparison operators and the method of sorting Pareto solutions based on fuzzy set theory. The results show that the proposed algorithm can obtain better solutions compared to existing burdening algorithm to solve the model, and it provides the variety of possible options.

• 出版日期2012