Prerequisites: None but Basic Programming Language Skill.
This course covers the remaining topics of Computational Intelligence encompassing Evolutionary Computation, Fuzzy Logic, and their hybrid systems.
Computational Intelligence attempts to computationally model the process of the human’s amazing capability of inferencing and learning amidst all kinds of uncertainties and imprecision of the environment. First, as simple and efficient optimization techniques, Evolutionary Algorithm as inspired by natural evolution, Particle Swarm Optimization and Ant Colony Systems are dealt with. Then, Fuzzy Logic and Systems are introduced that models the rule-based human reasoning process. Then the biologically-inspired optimization is used to optimize the design of the fuzzy systems. Next, its applications to robotics and automation will be given as examples.