| Course Name | Bio-inspired Algorithms |
| Course Code | 19CCE335 |
| Program | B. Tech. in Computer and Communication Engineering |
| Year Taught | 2019 |
Artificial Neural Networks – Pattern classification – Single and Multilayer perceptrons – Backpropagation – Pattern Association – Hebbian learning – Hopfield networks – Bidirectional Associative Memory Networks – Competitive learning – Kohenen’s Self Organizing Maps.
Genetic algorithms – Representation – Reproduction – Crossover and Mutation Operators – Crossover and Mutation rates – Selection mechanisms – Fitness proportionate – ranking and tournament selection – Building Block – Hypothesis and Schema Theorem
Swarm Intelligence – Stigmergy – Competition and Cooperation – Particle Swarm Optimization – Anatomy of a particle – Velocity and Position updation– PSO topologies – Control parameters –Ant Colony Optimization – Pheromone updation and evaporation.
Evaluation Pattern
| Assessment | Internal | External |
| Periodical 1 (P1) | 15 | – |
| Periodical 2 (P2) | 15 | – |
| *Continuous Assessment (CA) | 20 | – |
| End Semester | – | 50 |
| *CA – Can be Quizzes, Assignment, Projects, and Reports. | ||
Objectives
Course Outcomes
CO – PO Mapping
| PO/PSO/CO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 |
| CO1 | 2 | 2 | – | – | – | – | – | – | – | – | – | – | – | – |
| CO2 | 3 | 2 | – | – | 3 | – | – | – | – | – | – | – | 2 | – |
| CO3 | 2 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | – | 2 | 2 |
| CO4 | 2 | 2 | 3 | 3 | 3 | – | – | – | – | – | – | – | 3 | 3 |
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