MT31011: Genetic Alogrithms In Engg., Process Modeling

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MT31011
Course name Genetic Alogrithms In Engg., Process Modeling
Offered by Metallurgical & Materials Engineering
Credits 3
L-T-P 3-0-0
Previous Year Grade Distribution
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Semester Autumn


Syllabus

Syllabus mentioned in ERP

1. Evolutionary Computation and its historical perspective.2. The notion of Non-calculus optimization and itsflexibility and robustness.3. Binary encoded Simple Genetic Algorithms and its majoroperators.4. Genetic Algorithms for obtaining a sequence.5. Mathematical construction of Genetic Operators.6. Real Encoded Genetic Algorithms.7. Multi-modal problems through Genetic Algorithms.8. Handling of Constraints in Genetic Algorithms.9. Multi-objective problems and the concept of Paretooptimality.10. Some recent Multi-objective algorithms.11. Cellular Automata from a genetic perspective.12. Ant Colony Optimization.13. Particle Swarm optimization.14. Evolutionary Data-driven modeling.15. Some case studies of scientific and engineering interest.


Concepts taught in class

Student Opinion

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Classroom resources

Additional Resources

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