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AKTU Nature-Inspired Computing (BDS077) Syllabus PDF – B.Tech 4th Year
Nature-Inspired Computing BDS077
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Official AKTU syllabus of Nature-Inspired Computing (BDS077) for B.Tech 4th Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Nature-Inspired Computing
Download PDFBDS077 · 3 credits · L-T-P 3-0-0
Course Outcomes
At the end of course , the student will be able :
| CO 1 | The basics of Natural systems | K , K 1 2 |
| CO 2 | The concepts of Natural systems and its applications | K , K 1 2 |
| CO 3 | Basic Natural systems functions(operations) | K 2 |
| CO 4 | Natural design considerations. | K , K 2 3 |
| CO 5 | Integration of Hardware and software in Natural applications. | K K 3, 6 |
Course Content
L-T-P: 3-0-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | INTRODUCTION: From Nature to Nature Computing , Philosophy , Three Branches: A Brief Overview, Individuals, Entities and agents - Parallelism and Distributivity Interactivity ,Adaptation Feedback-Self-Organization-Complexity, Emergence and ,Bottom-up Vs Top-Down- Determination, Chaos and Fractals | 08 |
| II | Computing Inspired by Nature: Evolutionary Computing, Hill Climbing and Simulated Annealing, Darwin's Dangerous Idea, Genetics Principles, Standard Evolutionary Algorithm –Genetic Algorithms , Reproduction-Crossover, Mutation, Evolutionary Programming, Genetic Programming | 08 |
| III | SWARM INTELLIGENCE: Introduction - Ant Colonies, Ant Foraging Behavior, Ant Colony Optimization, SACO and scope of ACO algorithms, Ant Colony Algorithm (ACA), Swarm Robotics, Foraging for food, Social Adaptation of Knowledge , Particle Swarm Optimization (PSO) | 08 |
| IV | IMMUNOCOMPUTING: Introduction- Immune System, Physiology and main components, Pattern Recognition and Binding , Immune Network Theory- Danger Theory, Evaluation Interaction-Immune Algorithms , Introduction – Genetic algorithms , Bone Marrow Models , Forest's Algorithm, Artificial Immune Networks | 08 |
| V | COMPUTING WITH NEW NATURAL MATERIALS: DNA Computing: Motivation, DNA Molecule , Adleman's experiment , Test tube programming language, Universal DNA Computers , PAM Model , Splicing Systems , Lipton's Solution to SAT Problem , Scope of DNA Computing , From Classical o DNA Computing | 08 |
Text Books
- Leandro Nunes de Castro, " Fundamentals of Natural Computing, Basic Concepts, Algorithms and
- Applications", Chapman & Hall/ CRC, Taylor and Francis Group, 2007
- Floreano D. and Mattiussi C., "Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies", MIT Press, Cambridge, MA, 2008.
- Albert Y.Zomaya, "Handbook of Nature-Inspired and Innovative Computing", Springer, 2006.
- Marco Dorrigo, Thomas Stutzle,” Ant Colony Optimization”, PHI,2005
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