Refactor and Standardize Genetic Algorithms

[shreyass-ranganatha]

Changes:

Refactoring

1. Redefined Factory class responsibilities
2. Using instance over class variables

Bugs

1. Regularize optimization's Result variable
2. Handle early genetic algorithm termination while drawing figures

Abstraction

1. Define base classes for crossover, population and mutation

Structure

1. Create utils.py to contain useful utility function and class definitions
2. Create repair.py to contain Repair class implementations

Implementation

Crossover base class

• Defined OffspringRejectionCrossover which ensures crossover reverts back to parents when offsprings violate constraints