An Introduction to Genetic Algorithms
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 8120313585
- 575.10113 MIT-I
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 575.10113 MIT-I (Browse shelf(Opens below)) | Available | DCB15 |
1. Genetic Algorithms: An Overview --- 2. Genetic Algorithms in Problem Solving --- 3. Genetic Algorithms in Scientific Models --- 4. Theoretical Foundations of Genetic Algorithms --- 5. Implementing a Genetic Algorithm --- 6. Conclusions and Future Directions.
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics_particularly in machine learning, scientific modeling, and artificial life_and reviews a broad span of research, including the work of Mitchell and her colleagues.
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