green eld PON networks was deployed to minimize the costs. This technique uses an ef cient heuristic called the Recursive Association and Relocation Algorithm (RARA) to solve the optimization problem. This algorithm can significantly reduce the PON network deployment costs compared to an
intuitive random-cut sectoring approach. The method of cable conduit sharing is proposed to extend to RARA. The studies and analysis shows that there are saturating trends for the PON deployment costs. three system parameters are used viz. optical split r ....etc

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job shop scheduling matlab code genetic algorithm

Abstract

In today s manufacturing scenario Production Scheduling plays a vital role in planning. The scheduling deals directly with the time. The allocation of available resources over time to perform a specific task. Assigning an appropriate number of workers to the jobs during each day, determining when an activity starts and end depending upon the duration of an activity, predecceor activity, resource availability and target completion date. A scheduling problem is to find sequences of job ....etc

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Abstract

In this a genetic algorithm based approach to resolve the thermal unit commitment (UC). During this approach load demand, the most objective of getting a possible unit combination for every loading condition whereas subjected to a range of constraints. The model during this study contains four-generation units and also the 8-hour daily load demand. The results are compared between the dynamic programming (DP) and genetic algorithm the achieved results prove the effectiveness, and validity of the planned approach to unravel the large-s ....etc

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plz i need help on face subdet selection using genectic algorithm for face recognition in matlab ....etc

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I am in need of source code for implementation of offline handwriting recognition in matlab. Can you please help?? ....etc

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Implementation of Quine-McCluskey Minimization method Using C code


Introduction

The Karnaugh map is a method to simplify Boolean algebra expressions.
McCluskey method is functionally identical to Karnaugh mapping, but the tabular form makes it more efficient for use in computer algorithms
This method involves two steps:
Finding all prime implicants of the function.
Use those prime implicants in a prime implicant chart to find the essential prime implicants of the function ....etc

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How can I tune PID controller using GENETIC ALGORITHM..????
Asked by RAJEEV KUMAR on 15 Nov 2012
Latest activity Commented on by lithika on 26 Feb 2014
num=6;
den=;
gp=tf(num,den); % PLANT TRANSFER FUNCTION
%% OVERALL TRANSFER FUNCTION
gpgcr=gp*gcr;
sysy4=feedback(gpgcr,1);
%% BY GENETIC ALGORITHM
N=5; % NO OF POPULATION
M=4;
iter=12; % no.of iterations
maxiter=1;
%% initialization of pbest and gbest
for i=1:N
for j=1:iter
for k=1:M
pbest(i,j,k)=rand;
gbest(i,j,k)=rand;
end
end
end
%% initialization of kp,kd,ki and ....etc

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A Radial Distribution network is important in power system area because of its simple design and reduced cost. Impact of Distributed generation in radial distribution feeder is increased because of its application of green technology and it also meet out some of the power system issues. Allocation of Distributed Generation at non-optimal places leads to increased power loss and reduced bus voltage profile. To overcome these power system issues Distributed Generation should be optimally placed and sized at Radial Distribution Feeder. Optimal siz ....etc

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matlab program coding of genetic algorithm based automatic generation control ....etc

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To get full information or details of matlab code genetic algorithm for timetable generation please have a look on the pages

http://seminarsprojects.net/Thread-college-time-table-generation-system

if you again feel trouble on matlab code genetic algorithm for timetable generation please reply in that page and ask specific fields in matlab code genetic algorithm for timetable generation ....etc

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