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TaskManagerParameters_Advanced_4.m
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TaskManagerParameters_Advanced_4.m
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%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 10; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 20; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 30; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 40; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 50; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 10; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 20; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 30; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 40; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [2.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 50; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 10; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 20; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 30; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 40; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [4 2 1 3]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 1; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 50; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 10; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 20; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 30; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 40; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);
%Parameter Initialization
population = [50];% 30 50] %number of particles for UPSO
selfconf = [1.5]; %Self Confidence Factor to evaluate
globalconf = [1.5]; %Global Confidence Factor to evaluate
unifyfactor = [0.5]; %Unifying Factor
nbRep = 30; %Number of instances per combination
heurID = [3 2 1 4]; %Number: 1.LPT 2.SPT 3.MPA 4.LPA ; first the heuristic to worsen, second the heuristic to improve
timeRanges = [0 10]; % Min,Max processing times for the instance
objective = 2; % 1.- Enhance heuristic performance 2.- Diminish heuristic performance
delta = 50; % optional; needs to be added to the parameters (always a positive number)
toPlot = false; %optional; needs to be added to the parameters
folder = "DeltaInstances_1";
nbJobsV = [3];
nbMachinesV = [4];
TaskManagerPrueba_Advanced(nbJobsV,nbMachinesV,timeRanges,population,selfconf, globalconf,...
unifyfactor, nbRep, heurID, objective, folder, delta);