The goal of methodology chapter is to solve the problem of bank loans distribution using Genetic K-means clustering algorithms and binary genetic algorithm in MATLAB. Data will be examined and the results of each will be discussed, compared and evaluated.

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The goal of methodology chapter is to solve The goal of methodology chapter is to solve the problem of bank loans distribution using Genetic K-means clustering algorithms and binary genetic algorithm in MATLAB. Data will be examined and the results of each will be discussed, compared and evaluated. Also give brief description of data that collected from bank or financial institution ( preferred if it from Saudi Arabia bank)
Notation
• if Data which collected from the bank published before should but citation
• Data should include several attributes e.g age ,salary …etc
• The results should be deep discussion and include all tables or figures
• Program code not required. but if you can set it in appendix as pictures only (screen shot)
• This chapter should divide into several sub-chapters
1- Data (brief description )and variables which will be used in the implementation.
2- The results of implementation Genetic K-means clustering and discussion of results
3- The results of implementation (Binary genetic algorithm or Multiobjective ) and discuss the results
4- The comparison between the above algorithms (400 word)
5- Evaluation of methods ( K-means and binary algorithms ) (300 word)
6- Future work and conclusion (300 word)
• See upload file for example and more details about the problem
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