CS1111 - Genetic Algorithm and Machine Learning
Instructor
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Course Outcome
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Syllabus
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To learn the various basic concepts of GA and its operators.
- The various techniques in GA with current applications.
- The biological background and its technology.
- How to solve problems by using various GA techniques.
Study Materials
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UNIT I - INTRODUCTION TO GENETIC ALGORITHM & MACHINE LEARNING
Robustness of Traditional Optimization and Search methods – Goals of optimization-GA versus Traditional methods – Simple GA; Machine learning- explanation-machine learning Vs artificial intelligence-supervised and unsupervised machine learning-examples of machine learning Download Unit1-Materials |
Text Books
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1. David E.Goldberg,”Genetic Algorithms in search, Optimization & Machine Learning”, Pearson Education, 2001.
2. S.Rajesekaran, G.A.Viijayalakshmi Pai, ”Neural Networks, Fuzzy Logic and Genetic Algorithms”, Pearson Education,2003. |