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- W2359458683 abstract "An optimization model for urban land use pattern and transportation structure was established,which can minimize the total travel time under certain restrictions of land and population.Then,a new hybrid genetic algorithm was developed to solve the model.The hybrid genetic algorithm combines the traditional genetic algorithm with the simulated annealing algorithm,in which the dynamic penalty function,the Gray coding method,and the non-uniform mutation operator are introduced to increase the(algorithm's) efficiency.The calculation example shows that the hybrid genetic algorithm overcomes the shortcomings of traditional genetic algorithm and simulated annealing algorithm,and can obtain high-quality results with high efficiency." @default.
- W2359458683 created "2016-06-24" @default.
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- W2359458683 date "2008-01-01" @default.
- W2359458683 modified "2023-09-25" @default.
- W2359458683 title "Hybrid Genetic Algorithm for Integrated Optimization of Urban Land Use Pattern and Transportation Structure" @default.
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