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| Research on Application of a Type of Improved Simulated Annealing Algorithm for the Transit Vehicle Scheduling |
| Qingrong Wang |
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Abstract Plan of transit vehicle scheduling is a complicated system
engineering that is influenced by multitudinous factors. The
optimization model of transit vehicle scheduling has been built to
minimize the total cost of passengers waiting for the transit
vehicle and maximum the total benefit of the bus company.
Considering that the algorithm depended heavily on selected
parameters, hybrid algorithm of the parameter setting of simulated
annealing algorithm is proposed as a stochastic combinatorial
optimization problem based on order and Nested Partitions (NP), on
that basis, Improved Simulated Annealing algorithm (ISA) is designed
to solve the model. Finally, a case study has been carried out
taking Lanzhou as an example in order to testify validity of this
model and its algorithm by using calculating and comparing analysis,
and further solved practical problems under is analyzed. The results
show that the results obtained by ISA are better than those obtained
by SA and GA applied alone, The best solutions found so far of the
ISA have less fitness value than that of the other two.
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| DOI:10.12733/jics20102548 |
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