IT924

Course Name: 

Topics in Bio-Inspired Computing (IT924)

Programme: 

Ph.D

Credits (L-T-P): 

4

Content: 

Life: Life and Information, Logical Mechanisms of Life; Computation: Universal Computation and Computability, Simulations and Realizations; Limitations of Life: Computational Beauty of Nature, Bio-inspired computing, Natural computing, Biology through the lens of computer science; Complex Systems and Artificial Life: Complex Networks, Self-Organization and Emergent Complex Behavior, Cellular Automata, Boolean Networks, Development and Morphogenesis, Open- ended evolution; Evolutionary Algorithms: Evolution and Adaptation, Genetic Algorithms, Genetic Programming, Differential Evolution; Collective Behavior and Swarm Intelligence: Social Insects, Stigmergy and Swarm Intelligence, Competition and Cooperation, Communication and Multi-Agent simulation, Meta- Heuristics: Ant Colony Optimization, Artificial Bee Colony algorithm, Bat-Termite Algorithm Particle Swarm Optimization, Cat Swarm Optimization, Glowworm swarm optimization, Grey-Wolf Optimization, Wolf-pack Optimization, Multi-Swarm Optimization; Immuno-Computing: Artificial immune systems, Distributed Design for Computational Intelligence, Engineering Application.

References: 

Nunes de Castro, Leandro [2006], "Fundamentals of Natural Computing: Basic Concepts, Algorithms and Applications", Chapman & Hall.
Floreano, D. and C. Mattiussi [2008], "Bio-Inspired Artificial Intelligence: Theories, Methods and Technologies", MIT Press.
Nunes de Castro, Leandro and Fernando J. Von Zuben [2005], "Recent Developments in Biologically Inspired
Forbes, N. [2004], "Imitation of Life: How Biology is Inspiring Computing", MIT Press.
Flake, G. W. [1998], "The Computational Beauty of Nature: Computer Explorations of Fractals, Complex Systems and Adaptation", MIT Press.

Department: 

Information Technology

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in
 

Web Admin: Sowmya Kamath S

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