A generalised genetic algorithm module for hamiltonian minimization in any system
The main function of the module is GradDescent which takes the following arguments:
- Init : Initial State of the system (any type supported by Mutator and Printer functions). Eg - Numpy arrays
- Mutator : A function that takes in system state and generates mutants. (Inputs : System State)
- Crossover : A crossover function to merge two system states in order to create recombinant offsprings.
- H : Hamiltonian function. (Inputs : System State)
- ofile : An output file to write the results of GradDescent. (Note: This output file should already be open for writing)
- Printer : A Printer function that converts system state to a string that can be written to the output file.
Usage:
import genetic_algorithm
outputfile = open(<outputfilename>,"w+")
**GeneticAlgo(Init,Mutator,Crossover,H,outputfile,Printer)**
outputfile.close()Contact kbhaskar AT iisc DOT ac DOT in