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updated 1 month ago

Genetic Algorithm by MEKHMOUKH Abdenour

Genetic Algorithm (optimization, genetic algorithm, ga)

fonction.m

application(varargin)

demarrerapplication(varargin)

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updated 1 month ago

RLS Algorithm Demo by Tamer Mellik

Tamer Mellik (view profile)

A system identification by the usage of the RLS algorithm. (system identification, fir, iir)

FIR_rls.m

IIR_rls.m

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updated 1 month ago

GAOT-ECM: Extension For Control And Modeling by Andreea Ion

GAOT-ECM implements genetic algorithms for industrial plant identification and PID controller design (matlab, simulink, ga)

GAOT_ECM_ControllerDesign(criteria, fitnessFunctionName, ...

GAOT_ECM_ControllerDesign_GA(criteria, evalFN, termFN...

GAOT_ECM_ModelIdentification( criteria, fitnessFuncti...

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updated 1 month ago

Multi-Objective Grey Wolf Optimizer (MOGWO) by Seyedali Mirjalili

The Multi-objective version of the recently proposed Grey Wolf Optimizer (GWO). (optimization, particle swarm optimi..., pso)

CreateEmptyParticle(n)

CreateHypercubes(costs,ngrid,alpha)

DeleteFromRep(rep,EXTRA,gamma)

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updated 2 months ago

The Whale Optimization Algorithm by Seyedali Mirjalili

WOA is a new algorithm for solving single-objective optimization problems (optimization, particle swarm optimi..., algorithm)

Get_Functions_details(F)

WOA(SearchAgents_no,Max_iter,lb,ub,dim,fobj)

func_plot(func_name)

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updated 2 months ago

Whale Optimization Algorithm Toolbox by Seyedali Mirjalili

A toolbox for the Whale Optimization Algorithm (WOA) for solving optimization problems (optimization, optimisation, particle swarm optimi...)

CostFunction( x )

WOA(SearchAgents_no,Max_iter,lb,ub,dim,fobj,handles,value)

WOA_toolbox(varargin)

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updated 4 months ago

DA: Dragonfly Algorithm by Seyedali Mirjalili

DA is a novel swarm intelligence technique for solving single-objective optimization problems (optimization, optimisation, heuristic)

DA(SearchAgents_no,Max_iteration,lb,ub,dim,fobj)

Get_Functions_details(F)

Levy(d)

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updated 5 months ago

Travelling Salesman Problem - A Genetic Algorithm Approach by Víctor Martínez

GUI which provides a genetic algorithm based solution for solving the NP Travelling Salesman Problem (tsp, ga, travelling salesman p...)

main.m

about(varargin)

plot_chromosome(handle, map, chromosome, type, sub)

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updated 6 months ago

Multi-Verse Optimizer (MVO) by Seyedali Mirjalili

MVO is a novel meta-heuristic algorithm for global optimization (optimization, pso, particle swarm optimi...)

Get_Functions_details(F)

MVO(N,Max_time,lb,ub,dim,fobj)

RouletteWheelSelection(weights)

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updated 8 months ago

Bin Packing Problem using GA, PSO, FA, and IWO by Yarpiz

Yarpiz (view profile)

MATLAB implementation of GA, PSO, FA and IWO for Bin Packing Problem (bin packing problem, ga, pso)

BinPackingCost(q, model)

BinPackingCost(x, model)

CreateModel()

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updated 8 months ago

Quadratic Assignment Problem (QAP) using GA, PSO and FA by Yarpiz

Yarpiz (view profile)

MATLAB implementation of GA, PSO and Firefly Algorithm (FA) for Quadratic Assignment Problem (quadratic assignment ..., genetic algorithm, pso)

CreateModel()

CreateModel()

Mutate(x)

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updated 8 months ago

Evolutionary Feature Selection by Yarpiz

Yarpiz (view profile)

Application of Metaheuristics and Evolutionary Algorithms to Feature Selection in Various Modes (feature selection, evolutionary feature ..., binary feature select...)

ApplyInsertion(tour1)

ApplyReversion(tour1)

ApplySwap(tour1)

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updated 8 months ago

Evolutionary Clustering and Automatic Clustering by Yarpiz

Yarpiz (view profile)

Clustering and Automatic Clustering using Evolutionary Algorithms (GA, PSO, and DE) (clustering, automatic clustering, evolutionary clusteri...)

CSIndex(m, X)

ClusteringCost(m, X)

ClusteringCost(s, X)

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updated 10 months ago

Economic Load Dispatch Tool by Venkataswamy R

Simulation of ELD problem using GA and PSO algorithms. (gui, optimization, ga)

eldga.m

ConsistencyCheck(P_Vector, Deviation)

CostCharacteristics

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updated 10 months ago

Dragonfly Algorithm Toolbox by Seyedali Mirjalili

A toolbox for the Dragonfly Algorithm (DA) for solving single-objective optimization problems (optimization, optimisation, heuristic)

CostFunction( x )

DA(SearchAgents_no,Max_iteration,lb,ub,dim,fobj,handles,v...

DA_toolbox(varargin)

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updated 10 months ago

Moth-flame Optimization (MFO) Algorithm by Seyedali Mirjalili

MFO is a novel meta-heuristic algorithm for solving optimization problems (optimization, evolutionary algorith..., heuristic)

Get_Functions_details(F)

MFO(N,Max_iteration,lb,ub,dim,fobj)

func_plot(func_name)

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updated 11 months ago

MODA: Multi-Objective Dragonfly Algorithm by Seyedali Mirjalili

The multi-objective version of the Dragonfly Algorithm (DA) for solving multi-objective problems (optimisation, optimization, heuristic)

Draw_ZDT1()

HandleFullArchive(Archive_X, Archive_F, Archive_member_no...

Levy(d)

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updated 11 months ago

BDA: Binary Dragonfly Algorithm by Seyedali Mirjalili

The binary version of the Dragonfly Algorithm (DA) for solving binary optimization problems (optimization optimisa..., benchmark, ga)

BDA(N, max_iter, nVar, CostFunction)

Levy(d)

MyCost(x)

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updated 12 months ago

Ant Lion Optimizer (ALO) by Seyedali Mirjalili

ALO is a novel meta-heuristic algorithm for global optimization (optimization, ant lion optimizer, evolutionary algorith...)

ALO(N,Max_iter,lb,ub,dim,fobj)

Get_Functions_details(F)

Random_walk_around_antlion(Dim,max_iter,lb, ub,antlion,cu...

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updated 1 year ago

Multi-Verse Optimizer toolbox by Seyedali Mirjalili

A toolbox for the Multi-Verse Optimizer (MVO) algorithm (optimization, genetic algorithm, metaheuristic)

CostFunction( x )

MVO(N,Max_time,lb,ub,dim,fobj,handles)

MVO_toolbox(varargin)

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updated 1 year ago

Ant Lion Optimizer toolbox by Seyedali Mirjalili

A toolbox for the Ant Lion Optimizer (ALO) algorithm (optimization, ant lion optimizer, alo)

ALO(N,Max_iter,lb,ub,dim,fobj,handles,value)

ALO_toolbox(varargin)

CostFunction( x )

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updated 1 year ago

Genetic Algorithms Application by Wesam Elshamy

Wesam Elshamy (view profile)

Drawing the largest circle in a space of stars without enclosing any of them using Genetic Algorithm (applications, genetic algorithms, ga)

Simple EMOO Problem

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updated 1 year ago

System Identification using GA with a GUI interface by Wesam Elshamy

Wesam Elshamy (view profile)

Idnetifying ARX model of a system using Genetic Algorithms with a GUI interface and compare it to Le (optimization, system identification, ga)

arx2(y, u, na, nb, nk, error, pop, mutation, no_of_genera...

fitness(gene)

genalg(error, population_size, mutation, no_of_generations)

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updated 1 year ago

System Identification using GA with a GUI interface by Wesam Elshamy

Wesam Elshamy (view profile)

Idnetifying ARX model of a system using Genetic Algorithms with a GUI interface and compare it to Le (arx, system identification, ga)

arx2(y, u, na, nb, nk, error, pop, mutation, no_of_genera...

fitness(gene)

genalg(error, population_size, mutation, no_of_generations)

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updated 1 year ago

Pareto Front Using Fitness Sharing by Wesam Elshamy

Wesam Elshamy (view profile)

Finding the Pareto front of a simple problem using Genetic Algorithms with fitness sharing (genetic algorithms, ga, optimization)

Simple EMOO application (finding the Pareto front)

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updated 1 year ago

Constrained MOO using GA (ver. 2) by Wesam Elshamy

Wesam Elshamy (view profile)

Solving a simple MOO problem using Genetic Algorithms (GA) (multiobjective optimi..., demo, optimization)

moo.m

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updated 1 year ago

Multi-objective optimization using Evolution Strategies (ES) as Evolutionary Algorithm (EA) by Gilberto A. Ortiz

This function uses ES instead of GA as EA in the NSGA-II procedure for multi-objective optimization. (genetic algorithms, evolution strategies, es)

ENSES(f, mu, lambda, gen, rec_obj, rec_str, u, nf, n, lim...

domination_matrix(n_viol, sum_viol, phi, m, n_f)

mutation_es(n,lambda,xr,sigmar,alphar,limits)

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updated almost 2 years ago

Biogeography-Based Optimizer (BBO) for training Multi-Layer Perceptron (MLP) - Breast cancer dataset by Seyedali Mirjalili

Biogeography-Based Optimizer (BBO) is employed as a trainer for Multi-Layer Perceptron (MLP) trainin (ant colony optimizati..., biogeography based op..., bbo)

ACO(ProblemFunction, DisplayFlag)

BBO(ProblemFunction, DisplayFlag, ProbFlag, RandSeed)

ClearDups(Population, MaxParValue, MinParValue)

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updated almost 2 years ago

Traveling Salesman Problem - Genetic Algorithm by Joseph Kirk

Joseph Kirk (view profile)

Finds a near-optimal solution to a TSP using a GA (optimization, traveling salesman pr..., tsp)

tsp_ga(varargin)

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updated almost 2 years ago

Multiple Traveling Salesmen Problem - Genetic Algorithm by Joseph Kirk

Joseph Kirk (view profile)

Finds a near-optimal solution to a M-TSP using a GA (multiple traveling sa..., mtsp, tsp)

mtsp_ga(varargin)

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updated 2 years ago

Clustering by MATLAB GA tool box by RMS Danaraj

RMS Danaraj (view profile)

This program creates clusters by GA tool box (ga, clustering)

MyKMeans(data,k,option,init_centroid)

clust1(x,data,k)

test.m

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updated 2 years ago

Optimal Power Flow by GA toolbox by RMS Danaraj

RMS Danaraj (view profile)

OPF by GA (ga, power flow, power systems)

case30

opf

opf(x)

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updated 2 years ago

Economic Dispatch by dynamic GA by RMS Danaraj

RMS Danaraj (view profile)

This program solves ELD (ga, power systems, economic dispatch)

ga.m

ELDCost(x)

gaiteration(gaDat)

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updated 2 years ago

gapolyfitn by Richard Crozier

optimises the functional form of a multi-dimensional polynomial fit to model data (optimization, linear regression, modelling)

GenerateNewTerm(vars, maxPower, poly, maxLoops)

HasTerm(p1, p2, newTerm, vars)

PolyFitScore(polyVec, polyStruct)

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updated 3 years ago

Genetic Algorithm to Optimise Schaffer's F6 Function by Dean Kayton

A basic GA with a real-time plotting of evaluation funtion inputs and outputs (f6, schaffers function, genetic algorithm)

dec2gc(dec,N)

f6Bin2Dec(popSize,chromoChild,method)

f6FitSel(f6EvalFun,popSize)

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updated 3 years ago

Files for the 2012 Webinar "Tips and Tricks - Getting Started Using Optimization with MATLAB" by Seth DeLand

Seth DeLand (view profile)

These are the files that were used for the demonstrations in the webinar. (optimization, global optimization, fmincon)

RunThermistorExample()

ThOptimPlotCircuit(options,state,flag,Tdata,VData,Res,ThV...

VEMap(x)

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updated almost 5 years ago

Travelling salesman problem with Genetic algorithm by Maxim Vedenyov

Maxim Vedenyov (view profile)

GUI and no GUI versions, with description in docx file (tsp, ga, travelling salesman p...)

insert_begining_slow(g1,g2,cp)

insert_begining_slow(g1,g2,cp)

roulette_wheel_indexes(m,prn)

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updated almost 5 years ago

MDMTSPV_GA - Multiple Depot Multiple Traveling Salesmen Problem solved by Genetic Algorithm by Elad Kivelevitch

Genetic Algorithm Solution to the Multiple Depots, MTSP, with Variable number of salesmen (multiple traveling sa..., mtsp, genetic algorithm)

mdmtspv_ga(xy,max_salesmen,depots,CostType,min_tour,pop_s...

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updated 5 years ago

SpeedyGA: A Fast Simple Genetic Algorithm by Keki Burjorjee

Keki Burjorjee (view profile)

A vectorized implementation of a simple genetic algorithm in Matlab (optimization, genetic algorithm, vectorized)

R1(pop)

oneMax(pop)

speedyGA.m

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updated 8 years ago

Genetic Algorithm by Djaghloul Mehdi

Djaghloul Mehdi (view profile)

Multimodal Function Optimisation (optimization, genetic algorithm, ga)

JGAopt(w0,pop_size,Kga_fin,Max_error)

fit_fun(v)

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updated 8 years ago

Global maximum point for 3D surface using GA by Ali Talib Oudah

Finding the global maximum height for 3D multiple peak surface using genetic algorithm (optimization, ga, genetic algorithm)

arithmatic

multipeak(pop)

uniform

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updated almost 10 years ago

gaevolve by Gabriele Lombardi

A simple but flexible tool to implement genetic algorithms (optimization, genetic algorithms, ga)

Genetic Algorithms

SCrossBits(num1,num2)

SDisp(sol,fit,pop,fits)

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updated almost 10 years ago

Genetic Algorithm Performance by Javad Ivakpour

Javad Ivakpour (view profile)

Find the maximum with GA and show that how it is happened (for constrained and unconstrained problem (optimization, genetic algorithm, ga)

GA

GAconstrain

fun00(x)

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