文档介绍：青岛理工大学工学硕士学位论文
Abstract
Urban work is one of the significant municipal basic facilities,and its normal movement insures the running of people’S daily life and the manufacture of industry and the continuous extending of the city scale,the scale of
work is also increasingly enlarged,and then the work gradually forms.
Now,the design of the large—work is eager to need parisons between economy and to determine an optimization design project is an exigent problem,which has a profound practical to the problem above, the dissertation managed to seek for all appropriate optimization algorithm and automatically achieve the optimization design puter.
Since 1 990s,optimization algorithms based on the biology evolution has been the new worldwide research point,such as ic algorithm and SO these algorithms have good traits——legibility,robustness,parallel performance,which don’t exist in the conventional them,ic algorithm has been essfully used in the optimal design of sewer on the practice,the dissertation managed to use the ant colony algorithm and particle swarm optimization in optimal design of sewer pipes,and achieved the better the analysis of the result parison of calculating process,ant colony algorithm Was determined as the best optimization
algorithm for sewer pipes.
In the domestic area,most studies were merely limited to a single pipe’S design. The dissertation plished work traversing bY a new method coding which is created by the traversing,essential measures were adopted in order to get the global ,the author exploited work mapping mechanism which matched coding ,the mechanism greatly improved the program’S applicability and paved the way for the soft,rare development of optimization design.
Otherwise,all algorithms of this dissertation were programmed in C++,and a
software demo of optimization design was pli