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计算机应用研究 2009
Hybrid genetic algorithm for interval route optimization problem in multimodal transport
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Abstract:
Route optimization problem in multimodal transport directly influences the freightage cost, freightage time and freightage quality. Firstly,analyzed the mathematics model and virtual transport network for interval route optimization problem in multimodal transport.Secondly,introduced the sequencing method for interval data into the design of fitness function, and presented a hybrid genetic algorithm for solving interval route optimization problem in multimodal transport.It also proposed the design of chromosome coding, genetic operators, restriction controlling method and population diversity controlling method.Finally,convinced the effectiveness of the hybrid genetic algorithm by the computational results of an example. The algorithm is valuable for multimodal transport.