proctimes = ';

flow = ;

final = ;

bigM = sum(sum(proctimes));

disj1 = ';
disj2 = ';

arc1 = ';
arc2 = ';

tasks = 8;

start = tom('start',tasks,1);
y = tom('y',length(disj1),1,'int');
finish = tom('finish',1,1); %Scalar

% All slots are integers
bnds1 = {start >= 0, 0 <= finish <= bigM, 0 <= y <= 1};

% Task constraint
taskcon = {start(1:8) + proctimes(1:8) <= finish};

% Arc constraint
arccon = {} ....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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Please give the matlab source code ....etc

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ON THE JOB AND OFF THE JOB TRAINING METHODS
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