Aimed at the shortage of ga , this paper improves the simple genetic algorithm and accomplishes the optimal program based on the adaptive genetic algorithm . the result shows that the adaptive genetic algorithm improves the convergence rate . generally , the genetic algorithm randomly generates the initial population
12.
It has improved the conventional optimal design methods by simplifying the variables and the optimal program . it considers the bending moment as the main objective function , while the conventional methods regard the construction cost as the objective function . a model has been applied to the prediction of the deformation of pile - anchor systems by using matlab toolbox
13.
In the c6000 program optimization , we studied how to optimize the source code , how to use the c6000 ' s eight processors as efficiently as possible and how to develop the optimal program code , in accordance with the vliw ' s features and the parallel processing . at last , we pointed out what to do at the next step
14.
Based on a great many literature , this paper analyzes and summarizes the genetic algorithm for the design of structural optimization . the basic conceptions and primary characteristics are introduced in this paper . this paper discuss some primary factor when genetic algorithm applied on optimal design , for example the mathematical model �� the constrained problem �� the initial population and the controls parameter of genetic algorithm aimed at the characteristic of structural optimization and finite - element analysis , this paper accomplishes the optimal program based on the simple genetic algorithm
15.
On the base of brief introduction simple theory of genetic algorithms , we discuss the value of each genetic operator and the means of genetic operation . correct scheme of genetic algorithms is given out according to the special bolted sphere node . the genetic algorithms optimal program is compiled in the environment of matlab using the method of transferring parameters among the main function and the sub - function
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