Metro crew working scheduling algorithm based on hybrid genetic algorithm

A hybrid genetic algorithm and genetic operator technology, applied in the field of subway crew scheduling algorithm based on hybrid genetic algorithm, can solve the problems of insufficient use of knowledge and experience, weak adaptability, and many constraints, and achieve a simple and easy coding method. The effect of understanding, preventing premature maturity, and ensuring quality

Inactive Publication Date: 2013-06-26
CHONGQING JINMEI COMM
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AI Technical Summary

Problems solved by technology

The current shift scheduling system is mainly based on manual methods and has many constraints. Duplication of labor is common. It cannot be based on existing work and cannot make full us

Method used

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Embodiment Construction

[0009] According to the operation map data provided by the subway operation department, all the operation sections in the map are decomposed to form several operation cards and combined into a train ride map. Among them, the decomposition of the job segment needs to meet certain constraints, including:

[0010] l The maximum threshold of cumulative travel time for flight attendants per month (week).

[0011] l The maximum threshold of the number of trips per month (week) for flight attendants.

[0012] l It is necessary to ensure that the flight attendants get the prescribed rest days after several consecutive working days.

[0013] l It is necessary to ensure the maximum threshold of flight attendant duty days (week, month, year).

[0014] l The maximum threshold for the difference in the number of days of attendance, monthly hours, and outside duty of flight attendants of the same level.

[0015] l The work assigned to each flight attendant in each shift does not overlap ...

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Abstract

The invention provides a metro crew working scheduling method based on the hybrid genetic algorithm. The method includes: dynamically dividing working diagram data into daily task crew shifting cards according to train working diagram data and restrain conditions and performance requirements of working of crew working drivers in metro operation. The metro crew working scheduling method has the advantages of distributing operation tasks through a metro system, generating reasonable task sequences, ensuring reasonable alternation of off days and working tasks of crew members and avoiding messy manual task division.

Description

technical field [0001] The invention relates to a combinatorial optimization problem based on a hybrid genetic algorithm, in particular to a subway crew scheduling algorithm. Background technique [0002] The main function of shift scheduling is to solve the operation tasks assigned by the subway system using the shift system, generate a reasonable task sequence, and ensure a reasonable alternation between crew members' rest days and work tasks. The current shift scheduling system is mainly based on manual methods and has many constraints. Duplication of labor is common. It cannot be based on existing work and cannot make full use of the knowledge and experience accumulated in the past application system development. The current scheduling software has poor adaptability, weak adaptability, and difficult transplantation. Therefore, it is necessary to establish a new scheduling model to meet the needs of the operation department to the greatest extent, and to be random, scien...

Claims

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Application Information

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IPC IPC(8): G06N3/12
Inventor 万礼华邹灿刘俊张跃泷
Owner CHONGQING JINMEI COMM
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