Syllabus - Soft Computing Techniques & Application (EE-703(B))

Electrical Engineering

Soft Computing Techniques & Application (EE-703(B))

VII

UNIT-1

Review of probability theory

Random variable, distribution functions, function of random variable. generation of random digit, and random variants from various distribution function, Monte Carlo simulation, sampling distributions station evolution using MCS, confidence interval, coefficient of variation.

UNIT-2

Evolution of ANN

Artificial neurons activation functions general network structure g - rule, and back propagation rule of training, RBF and FLN network.

UNIT-3

Draw back of classical optimization techniques

genetic algorithm; binary and real parameter GA, constraints handling in GA.

UNIT-4

Evolution strategies(ES)

two members non-recombinative ES, multi member ES, recombinative ES. Optimization based on swarm intelligence particle, swarm optimization and its variants.

UNIT-5

Application of soft computing techniques to problem of electrical engg. e.g. economic dispatch, reliable optimization, ANN training using evolutionary algorithms.

Practicals

Reference Books

  • R.Y.RubinsteinSimulationandtheMonte Carlo method,JohnWiley&sons1st Edition.

  • Paul.L.Mayer-Introducingprobabilityandstaticalapplication, AdditionWeslay.

  • Rajasekaran and pai- Neural Network, Fuzzy logic &Genetic Algorithms. PHI Learing

  • LiMin. Fu, Neural Networks in Computer Intelligence, 9thReprintTMH

  • Multi objective optimization using evolutionary algorithm- Kalyanmoy Deb John Wiley SonsLtd.

  • Probability and Random processes for Electrical Engineering , Alberto Leon Garcia IIndPearson.

  • Principlesofsoftcomputing-SNShivanandan,SNDeepaWileyIndia(P)Ltd,I edition2007.

  • Hand book of genetic algorithm- Rajaserkharans, vijayalaxmipai.

  • PSO Tutorial- KennedyEbuehart.

  • Sivanandam& Deepa- An Introduction to Neural Networks using Matlab6.0 1sted., TMH

  • M.Amirthavalli, Fuzzy logic and neural networks, Scitechpublications.