Optimization algorithms to solve the general problem of Optimal Maintenance Scheduling for Aircraft or other types of vehicles when there are limited resources available to deliver such maintenance to a fleet of aircraft or other kind of bundle of vehicles.

If there are conflicts on the scheduled day, try to schedule by pushing one day forward.

If there are conflicts on the scheduled day, push one day back as long as a conflict exists until predetermined floor is reached. If task was not scheduled try pushing forward until ceiling is reached.

$ ./main.py [algorithm] [data] [weight] [relax] [sort]

$ ./main.py 1 0 5 3 +

• Algorithm is the algorithm to use. 0 is PushRight, 1 is PushRight-RelaxLeft.
• Data is the initial conditions to load. Ranges from 0 to as many datasets as was generated.
• Weight is the weight applied to sorting algorithm. Ranges from 0 to 10 (represents 0.0 to 1.0)
• Relax is the percentage of interval to relax left. Ranges from 1 to 3 (represents 25% to 75%)
• Sort is the sorting to be used by the Algorithm. Options: + for on , - for off, and ~ for reverse.
• Plat is the platform id of the equipment to run the scheduling scripts on.
• Trace is the flag to turn off console output. Default is on. Input 0 to turn off.
• Batch corresponds to the initial conditions xml file to load.

Run main.py N number of times with varying weights and relaxing (if relax left algorithm).

$ ./crunch.py [-h] [--start START] [--end END] [--algo ALGO] [--sort SORT] [--plat PLAT] [--batch BATCH] 

$ ./crunch.py --algo 1 --start 0 --end 0 --plat 2

• -h, --help Show help message.
• --start Load initial conditions starting with this dataset.
• --end Last dataset of initial conditions to load.
• --algo The algorithm to use. 0 is PushRight, 1 is PushRightRelaxLeft
• --sort Sorting to be used by the ALgorithm. Options: on, off, reverse
• --plat The platform to run the algorithm on.
• --batch Batch process X number of initial conditions.

Run crunch with all permutations on variables: algorithms, weights, relax factors, sorting rules.

$ ./autocrunch.py [platform] [batch]

$ ./autocrunch.py 2 0

• Platform Run scripts on this platform id.
• Batch How many dataset xml files to load for the batch operation.

Generate initial conditions.

$ ./gencon [-h] [--plat PLAT] [--batch BATCH] [--cap CAP] [--simp]

$ ./gencon --plat 2 --cap 10 --batch 10

• -h, --help Show this help message and exit
• --plat The Platform ID to generate conditions for.
• --batch How many files to create.
• --cap How many datasets to write in the xml.
• --simp Switch between big data and the a simple model.