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Artificial intelligence (I) 710


 
Module code COS 710
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

This module focuses on two Computational Intelligence paradigms, namely Evolutionary Computation and Swarm Intelligence. Within the Evolutionary Computation paradigm, algorithmic models of Darwinian evolution will be studied, including genetic algorithms, genetic programming, evolutionary strategies, evolutionary programming, differential evolution, cultural algorithms and co-evolution. Within the Swarm Intelligence paradigm algorithm models of social organisms found in nature will be studied, including ant algorithms and particle swarm optimisation. These algorithms will mostly be studied in the context of complex optimisation problems, including multi-objective optimisation, dynamic environments, constraints, and finding multiple solutions. Prior knowledge assumed include good programming skills and an undergraduate module in calculus.

Module credits 15.00
NQF Level 08
Prerequisites No prerequisites.
Contact time 2 lectures per week
Language of tuition Module is presented in English
Department Computer Science
Period of presentation Semester 1 or Semester 2

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