EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS EX 8th (Eighth) sem Electrical & Electronics Engineering(EX) Syllabus

EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS Syllabus
RGTU/RGPV SOFT COMPUTING TECHNIQUES AND APPLICATIONS
Electrical & Electronics Engineering(EX) VIII-8th Semester Syllabus

EX8401 SOFT COMPUTING TECHNIQUES AND APPLICATIONS Course Contents:

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 ANN, artificial neurons, activation functions, ge - 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 traing using evolutionary algorithms.

References :
1. R.Y. Rubinstein Simulation and the Monte Carlo method, John Wiley & sons 1st Edition.
2 Paul. L. Mayer-Introducing probability and statical application, Addition Weslay.
3 Rajasekaran and pai- Neural Network, Fuzzy logic & Genetic Algorithms. PHI Learing
4 LiMin. Fu, Neural Networks in Computer Intelligence, 9th Reprint TMH
5 Multi objective optimization using evolutionary algorithm- Kalyanmoy Deb John Wiley & Sons Ltd.
6 Probability and Random processes for Electrical Engineering , Alberto Leon Garcia IInd Pearson .
7 Principles of soft computing- S N Shivanandan, S N Deepa Wiley India (P) Ltd, I edition 2007.
8 Hand book of genetic algorithm- Rajaserkharans, vijaya laxmi pai.
9 PSO Tutorial- Kennedy Ebuehart.
10 Sivanandam & Deepa- An Introduction to Neural Networks using Matlab 6.0 1st ed., TMH
11 M.Amirthavalli, Fuzzy logic and neural networks, Scitech publications.

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