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# Optimizing Bank Lending Using Genetic Algorithms
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This repository contains an implementation of the research paper by Metawa N. et all on optimizing bank lending decisions using genetic algorithms. Also, a simulated annealing algorithm has been implemented and the results of both the algorithms are compared. It was found that the Genetic Algorithm performs better than the Simulated Annealing Algorithm.
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This repository contains an implementation of the research paper by Metawa N. et all on optimizing bank lending decisions using genetic algorithms. The research paper can be found at https://www.sciencedirect.com/science/article/abs/pii/S0957417417301677?via%3Dihub
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Also, a simulated annealing algorithm has been implemented and the results of both the algorithms are compared. It was found that the Genetic Algorithm performs better than the Simulated Annealing Algorithm.
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To run the code, simply run the main.ipynb file. It calls functions from genetic_functions.py and simulated_annealing_functions.py
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