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updated 1 month ago

Chaos theory and meta-heuristics by Seyedali Mirjalili

10 chaotic maps that can be integrated to any meta-heuristics (optimization, metaheuristic, heuristic)

O=chaos(Index,Initial_Value,Max_iter)

Main.m

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updated 1 month ago

Autonomous Groups Particles Swarm Optimization (AGPSO) by Seyedali Mirjalili

A Particle Swarm Optimization Algorithm with Autonomous Groups of Particles (particle swarm optimi..., pso, optimization)

Get_Functions_details(F)

[gBestScore,gBest,cg_curve]=AGPSO1(N,Max_iteration,lb,ub,...

[gBestScore,gBest,cg_curve]=AGPSO1(N,Max_iteration,lb,ub,...

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updated 4 months ago

Basic Genetic Algorithm by Xavier Blasco

An easy to use Genetic Algorithm (genetic algorithm cpo..., cpoh, genetic algorithm)

ga.m

gaiteration(gaDat)

garesults(gaDat)

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updated 6 months ago

Function optimization using Differential Evolution by Baba Dash

sin(x) optimization using DE (optimization, evolutionary algorith..., soft computing)

sinXoptimization_using_DE.m

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updated 7 months ago

Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) by Seyedali Mirjalili

PSOGSA is the efficient combination of PSO and GSA. (psogsa, hybrid pso and gsa, hybrid particle swarm...)

PSOGSA.m

benchmark_functions.m

benchmark_functions_details.m

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updated 1 year ago

Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism by Gilberto Reynoso-Meza

An EA based on DE with adaptive crossover rate, population refresh and local search. (evolutionary algorith..., differential evolutio..., optimization)

CostFunction.m

DE_TCR.m

LocalSearch(X,Dat)

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updated 2 years ago

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

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

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 4 years ago

SpeedyGA: A Fast Simple Genetic Algorithm by Keki Burjorjee

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

fitness=R1(pop)

fitness=oneMax(pop)

speedyGA.m

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