History of Evolutionary Computing, The Appeal of Evolution, Biological Terminology, Elementsof Genetic Algorithm, Genetic Algorithms and Traditional Search Methods, Applications andExamples of Genetic Algorithm.
Evolving Computer Programs, Data Analysis and Prediction, Evolving Neural Networks.
Schemas and the Two-Armed Bandit Problem, Royal Roads, Exact Mathematical Models ofGenetic Algorithm
When should a Genetic Algorithm be used , Encoding a Problem for a Genetic Algorithm,Adapting the Encoding, Selection Methods , Genetic Operators, Parameters for GeneticAlgorithm.
Probabilistic reasoning, Fuzzy sets, Mathematics of fuzzy set theory, Operations on fuzzy sets,Comparison of fuzzy and crisp set theory.
One to one mapping, Max-min principle, Extension principle, Implication rules – mamdaniimplications.
Universe of discourse, Mapping inside fuzzy domain, Fuzzy membership mapping methods,Application to real world problems.
Neural and Fuzzy Machine Intelligence, Fuzziness as Multivalence, The Dynamical SystemApproach to Machine Intelligence: The Brain as a Dynamical System, Intelligent Behaviour asAdaptive Model Free estimation.
Neuron as Functions, Signal Monotonicity, Biological Activations and Signals, Neuron Fields,Neuronal Dynamical System, Common Signal Functions, Pulse –Coded Signal Functions