Automatic time series pattern creating method

Claim 2

An automatic time series pattern creation method for creating a plurality of time series patterns by sequencing elements which should be arranged in time series order, comprising the steps of: obtaining first time series patterns for a first time span based on contents of an element string with a suitable evaluation value among element strings which are created based on link relations generated by successively linking an element with an earliest starting time to other elements with a starting time later than an end time of the element with the earliest starting time; and creating second time series patterns for a second time span longer than said first time span based on the contents of a string of first time series patterns with a suitable evaluation value among strings of first time series patterns which are created based on link relations generated by successively linking the first time series pattern with an earliest starting time to other first time series patterns with a starting time later than an end time of the first time series pattern with the earliest starting time by using said first time series patterns obtained for said first time span.

Claim 3

The automatic time series pattern creation method according to claim 1, wherein a genetic algorithm is applied using the element strings which are used in creating said first time series pattern for said first time span and using said first time series patterns as chromosomes, which are used in creating said second time series patterns for said second time span.

Claim 4

The automatic time series pattern creation method according to claim 2, wherein in a process of said genetic algorithm, a one-point crossover between arbitrary elements of said element strings or between said first time series patterns of the string of first time series patterns, and a mutation which targets element strings or said string of first time series patterns created as a result of the one-point crossover, are executed.

Claim 5

The automatic time series pattern creation method according to claim 1, wherein said elements are airplane flights, and said first time series patterns and said second time series patterns are crew flight scheduling patterns.

Claim 6

The automatic time series pattern creation method according to claim 4, wherein said elements are flights in one day, and a plurality of most suitable daily crew flight scheduling patterns are created for a plurality of air crews as said first time series patterns.

Claim 7

The automatic time series pattern creation method according to claim 4, wherein a plurality of most suitable daily crew flight scheduling patterns for a plurality of air crews are created for successive days using all airplane flights in one day as elements as the first time series patterns, and a most suitable crew flight scheduling pattern for said successive days is created as the second time series pattern based on link relations created by successively linking the daily crew flight scheduling patterns for said successive days.

Claim 8

The automatic time series pattern creation method according to claim 6, further comprising the steps of: creating a plurality of daily crew flight scheduling patterns for a plurality of air crews for successive days; successively linking each of said daily crew flight scheduling patterns starting at an earliest starting time for a first flight pattern to each of connectable daily crew flight patterns starting after an arriving time of a last flight of said daily crew flight scheduling patterns, and creating a plurality of link relations with allowing for including duplicated daily crew flight patterns among different link relations; designating a position in strings of daily crew flight scheduling patterns in which daily crew flight patterns should be arranged by corresponding to each daily crew flight scheduling pattern at beginning of a link relation for a plurality of said link relations; creating a plurality of strings of daily crew flight scheduling patterns by allocating each selected daily crew flight scheduling pattern in each corresponding position after each daily crew flight scheduling pattern starting said link relation by selecting each daily crew flight pattern from one or more connectable daily crew flight patterns; executing predetermined processing after obtaining an evaluation value with a predetermined format for a plurality of strings of said daily crew flight scheduling patterns; obtaining an evaluation value with said predetermined format for a new string of daily crew flight scheduling pattern created as a result of said predetermined processing; and creating a most suitable crew flight scheduling pattern for said successive days based on contents of a string of daily crew flight scheduling patterns with a best evaluation value.

Claim 9

An automatic time series pattern creation apparatus for creating a plurality of time series patterns by sequencing elements which should be arranged in a time series order, comprising: first time series pattern creation means for creating first time series patterns for a first time span based on contents of an element string with a suitable evaluation value among element strings created based on link relations generated by successively linking an element with an earliest starting time to other elements with a starting time later than an end time of the element with the earliest starting time; and second time series pattern creation means for creating second time series patterns for a second time span longer than said first time span based on contents of a string of first time series patterns with a suitable evaluation value among strings of first time series patterns which are created based on link relations generated by successively linking said first time series patterns with an earliest starting time to other first time series patterns with a starting time later than an end time of the first time series pattern with the earliest starting time by using said first time series patterns created for said first time span.

Claim 10

An automatic time series pattern creation apparatus for creating a plurality of time series patterns by sequencing elements which should be arranged in a time series order, comprising: first time series pattern creation means for creating first time series patterns for a first time span based on contents of an element string with a suitable evaluation value among element strings created based on link relations generated by successively linking an element with an earliest starting time to other elements with a starting time later than an end time of the element with the earliest starting time; and second time series pattern creation means for creating second time series patterns for a second time span longer than said first time span based on contents of a string of first time series patterns with a suitable evaluation value among strings of first time series patterns which are created based on link relations generated by successively linking said first time series patterns with an earliest starting time to other first time series patterns with a starting time later than an end time of the first time series pattern with the earliest starting time by using said first time series patterns created for said first time span.

Claim 11

The automatic time series pattern creation apparatus according to claim 8, wherein: said first time series pattern creation means creates a plurality of most suitable daily crew flight scheduling patterns corresponding to a plurality of air crews as said first time series patterns and by regarding flights in one day as said element; and said second time series pattern creation means creates a most suitable crew flight pattern for successive days as said second time series pattern based on the contents of a string of daily patterns with a suitable evaluation value among strings of daily patterns created based on link relations generated by successively linking daily crew flight scheduling patterns by regarding said daily crew flight scheduling patterns as said first time series patterns.

Claim 12

A computer-readable recording medium used to direct a computer to function in a particular manner when used by the computer, comprising the records of: first time series pattern obtaining procedure for obtaining first time series patterns for a first time span based on contents of an element string with a suitable evaluation value among element strings created based on link relations generated by successively linking an element with an earliest starting time to other elements with a starting time later than an end time of the element with the earliest starting time; and second time series pattern obtaining procedure for obtaining second time series patterns for a second time span longer than said first time span based on contents of a string of the first time series patterns with a suitable evaluation value among strings of first time series patterns created based on link relations generated by successively linking said first time series pattern with an earliest starting time to other first time series patterns with a starting time later than an end time of said first time series pattern with the earliest starting time by using said first time series patterns obtained for said first time span.

Claim 13

A computer-readable recording medium used to direct a computer to function in a particular manner when used by the computer, comprising the records of: first time series pattern obtaining procedure for obtaining first time series patterns for a first time span based on contents of an element string with a suitable evaluation value among element strings created based on link relations generated by successively linking an element with an earliest starting time to other elements with a starting time later than an end time of the element with the earliest starting time; and second time series pattern obtaining procedure for obtaining second time series patterns for a second time span longer than said first time span based on contents of a string of the first time series patterns with a suitable evaluation value among strings of first time series patterns created based on link relations generated by successively linking said first time series pattern with an earliest starting time to other first time series patterns with a starting time later than an end time of said first time series pattern with the earliest starting time by using said first time series patterns obtained for said first time span.

Claim 14

The computer-readable recording medium according to claim 10, wherein: said first time series pattern obtaining procedure creates a plurality of most suitable daily crew flight scheduling patterns corresponding to a plurality of air crews as said first time series patterns by regarding flights in one day as elements; and said second time series pattern obtaining procedure creates a most suitable crew flight scheduling pattern for successive days as second time series patterns based on contents of a string of daily crew flight scheduling patterns with a suitable evaluation value among strings of daily crew flight scheduling patterns created based on link relations generated by successively linking said daily crew flight scheduling patterns by regarding said daily crew flight scheduling patterns for successive days as said first time series patterns.

Claim 15

An automated scheduling method, comprising: generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.

Claim 16

An automated scheduling method, comprising: generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.

Claim 17

An automated scheduling apparatus, comprising: means for generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and means for generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.

Claim 18

An automated scheduling apparatus, comprising: means for generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and means for generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.

Claim 19

A computer-readable medium encoded with a program for automatic scheduling, the program comprising procedures for: generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.

Claim 20

A computer-readable medium encoded with a program for automatic scheduling, the program comprising procedures for: generating a plurality of first strings each comprising a time-ordered sequence of nonoverlapping event elements selected from a plurality of predetermined event elements each having a specified start time and a specified end time, each of the first strings being selected to generate from a first predetermined evaluation procedure an evaluation value satisfying a first quantitative condition; and generating a plurality of second strings each comprising a time-ordered sequence of nonoverlapping ones of the plurality of first strings, each of the second strings being selected to generate from a second predetermined evaluation procedure an evaluation value satisfying a second quantitative condition.