Genetic Algorithm for finding weather preference of a person using Pyevolve .
- Pyevolve
- Python
Individuals are the weather descriptions, and weather preference is measured by your fitness function.
- trialGAcode.py :
This is the trial code with extremely simple Fitness Function . Here we have assumed that we like sunny days and hate both rainy and windy days .
Gen. 0 (0.00%): Max/Min/Avg Fitness(Raw) [0.23(0.68)/0.18(0.01)/0.19(0.19)]
Gen. 10 (10.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 20 (20.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 30 (30.00%): Max/Min/Avg Fitness(Raw) [1.15(0.99)/0.00(0.34)/1.09(0.95)]
Gen. 40 (40.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 50 (50.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 60 (60.00%): Max/Min/Avg Fitness(Raw) [1.16(0.99)/0.00(0.34)/1.14(0.97)]
Gen. 70 (70.00%): Max/Min/Avg Fitness(Raw) [1.16(0.99)/0.00(0.34)/1.14(0.97)]
Gen. 80 (80.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 90 (90.00%): Max/Min/Avg Fitness(Raw) [1.17(0.99)/0.00(0.34)/1.16(0.98)]
Gen. 100 (100.00%): Max/Min/Avg Fitness(Raw) [1.15(0.99)/0.00(0.34)/1.09(0.95)]
Total time elapsed: 0.175 seconds.
- GenomeBase
Score: 0.986667
Fitness: 1.145006
Params: {'rangemax': 100, 'rangemin': 0}
Slot [Evaluator] (Count: 1)
Name: perfect_weather - Weight: 0.50
Doc: Fitness Function for the program
Parameter: chromosome
Type: One dimensional list
Returns: Score of the function
Type: Float
Slot [Initializator] (Count: 1)
Name: G1DListInitializatorInteger - Weight: 0.50
Doc: Integer initialization function of G1DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
Slot [Mutator] (Count: 1)
Name: G1DListMutatorSwap - Weight: 0.50
Doc: The mutator of G1DList, Swap Mutator
.. note:: this mutator is :term:`Data Type Independent`
Slot [Crossover] (Count: 1)
Name: G1DListCrossoverSinglePoint - Weight: 0.50
Doc: The crossover of G1DList, Single Point
.. warning:: You can't use this crossover method for lists with just one element.
- G1DList
List size: 3
List: [96, 0, 0]
- mainGAcode.py :
This is the main code . It takes into consideration the different choices of Individual and changes fitness function respectively .
Enter Your weather Love
-----------------------------------------------------------------
Do you like sunny weather ?
y
Do you like rainy weather ?
n
Do you like windy weather ?
y
Gen. 0 (0.00%): Max/Min/Avg Fitness(Raw) [0.47(0.84)/0.33(0.07)/0.39(0.39)]
Gen. 10 (10.00%): Max/Min/Avg Fitness(Raw) [1.12(0.94)/0.00(0.31)/1.10(0.93)]
Gen. 20 (20.00%): Max/Min/Avg Fitness(Raw) [1.03(0.94)/1.03(0.94)/1.03(0.94)]
Gen. 30 (30.00%): Max/Min/Avg Fitness(Raw) [1.12(0.94)/0.00(0.31)/1.10(0.93)]
Gen. 40 (40.00%): Max/Min/Avg Fitness(Raw) [1.12(0.94)/0.00(0.31)/1.10(0.93)]
Gen. 50 (50.00%): Max/Min/Avg Fitness(Raw) [1.12(0.94)/0.00(0.31)/1.10(0.93)]
Gen. 60 (60.00%): Max/Min/Avg Fitness(Raw) [1.10(0.94)/0.00(0.31)/1.06(0.92)]
Gen. 70 (70.00%): Max/Min/Avg Fitness(Raw) [1.11(0.94)/0.00(0.31)/1.08(0.92)]
Gen. 80 (80.00%): Max/Min/Avg Fitness(Raw) [1.11(0.94)/0.00(0.31)/1.08(0.92)]
Gen. 90 (90.00%): Max/Min/Avg Fitness(Raw) [1.11(0.94)/0.00(0.31)/1.08(0.92)]
Gen. 100 (100.00%): Max/Min/Avg Fitness(Raw) [1.10(0.94)/0.00(0.31)/1.06(0.92)]
Total time elapsed: 0.184 seconds.
- GenomeBase
Score: 0.940000
Fitness: 1.099513
Params: {'rangemax': 100, 'rangemin': 0}
Slot [Evaluator] (Count: 1)
Name: perfect_weather - Weight: 0.50
Doc: Fitness Function for the program
Parameter: chromosome
Type: One dimensional list
Returns: Score of the function
Type: Float
Slot [Initializator] (Count: 1)
Name: G1DListInitializatorInteger - Weight: 0.50
Doc: Integer initialization function of G1DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
Slot [Mutator] (Count: 1)
Name: G1DListMutatorSwap - Weight: 0.50
Doc: The mutator of G1DList, Swap Mutator
.. note:: this mutator is :term:`Data Type Independent`
Slot [Crossover] (Count: 1)
Name: G1DListCrossoverSinglePoint - Weight: 0.50
Doc: The crossover of G1DList, Single Point
.. warning:: You can't use this crossover method for lists with just one element.
- G1DList
List size: 3
List: [91, 0, 91]