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[ FreeCourseWeb com ] Udemy - A Quick Start Guide to Genetic Algorithms in Python
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1. Prologue
1. Introduction.mp4
1. Introduction.srt
2. Module Outline.mp4
2. Module Outline.srt
3. Biological Analogy.mp4
3. Biological Analogy.srt
2. Application 01 Diophantine Equation
1. Details of Genetic Algorithm.mp4
1. Details of Genetic Algorithm.srt
2. Hand Coding the Diophantine Equation.mp4
3. Diophantine App.mp4
3. Diophantine App.srt
4. Implementing Diophantine Equation in Python.mp4
4. Implementing Diophantine Equation in Python.srt
4.1 Assignment-1.pdf
3. Theory of Genetic Algorithm
1. Algorithmics.mp4
1. Algorithmics.srt
2. Search Space.mp4
2. Search Space.srt
3. Biological Background of Genetic Algorithm.mp4
3. Biological Background of Genetic Algorithm.srt
4. Application 02 Message Generation
1. Message Generation App in Python.mp4
1. Message Generation App in Python.srt
1.1 Assignment-2.pdf
5. Application 03 Knapsack Problem
1. PyEasyGA - Python's Library for Genetic Algorithm.mp4
1. PyEasyGA - Python's Library for Genetic Algorithm.srt
2. Knapsack Problem App.mp4
2. Knapsack Problem App.srt
2.1 Assignment-3.pdf
6. Application 04 The 8-Queen Problem
1. The 8-Queen Problem - Statement.mp4
1. The 8-Queen Problem - Statement.srt
2. The 8-Queen Problem - Solution.mp4
2. The 8-Queen Problem - Solution.srt
2.1 Assignment-4.pdf
7. Epilogue
1. Review Quiz.html
2. Conclusion - Application Domains of GA and Issues.mp4
2. Conclusion - Application Domains of GA and Issues.srt
Bonus Resources.txt
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