DocumentCode :
2964808
Title :
Mode of the Multi-Objective Optimization of SITS Operation Network Plan Based on NSGA-II
Author :
He, Xinhua
Author_Institution :
Sch. of Econ. Manage., Shanghai Maritime Univ., Shanghai, China
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
SITS(shipping intelligent transportation system) operation is complex problem for decision making, which plays an important role in our country´s society and economy as well as in our multi-modal transportation system. Based on the analysis of network planning optimization method for SITS operation, this paper establishes the quality - duration - the cost optimization model with the characteristics of network planning for SITS operation. Then it proposes the multi-objective optimization method based on NSGA-II. The method is GA that using non-dominated sort about crowding distance and elitism strategy. Through chromosome coding based on process, it optimizes the search space of solution. With the roulette wheel selection, arithmetic crossover and mutation operation, this paper gets the Pareto optimal solution collection that can allow decision-makers to choose. At last, an example confirms that the optimization method can solve the Pareto optimal solution collection from establishing the optimization model, using MATLAB7.0 simulation program.
Keywords :
Pareto optimisation; automated highways; decision making; genetic algorithms; GA; NSGA-II; Pareto optimal solution; SITS; complex problem; cost optimization model; decision making; multimodal transportation system; multiobjective optimization; network planning; operation network; shipping intelligent transportation system; Biological cells; Mathematical model; Pareto optimization; Planning; Sorting; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
Type :
conf
DOI :
10.1109/ICMSS.2011.5998259
Filename :
5998259
Link To Document :
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