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updated 20 days ago

SCA: A Sine Cosine Algorithm by Seyedali Mirjalili

SCA is a novel algorithm for solving single-objective optimization problems (optimization, evolutionary algorith..., genetic algorithm)

Get_Functions_details(F)

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

func_plot(func_name)

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updated 1 month ago

Minimum-Jerk Trajectory with Constraints by Matthew Kelly

Solve multi-segment kinematic trajectory optimization. Minimum jerk, Chebyshev collocation. (trajectory optimizati..., quadratic program, quadprog)

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updated 6 months ago

minimize by Rody Oldenhuis

Rody Oldenhuis (view profile)

Minimize constrained functions with FMINSEARCH or FMINLBFGS, globally or locally (optimization, constrained optimizat..., derivativefree optimi...)

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updated 6 months ago

random_spheres(funct,startvalue,lb,ub,s,plotit) by Dominik Ballreich

The Random Spheres Optimizer is a metaheuristic optimizer for constrained optimization (heuristic, metaheuristc, optimization)

random_spheres(funct,startvalue,lb,ub,s,plotit)

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updated 12 months ago

LBFGSB (L-BFGS-B) mex wrapper by Stephen Becker

Stephen Becker (view profile)

Mex wrapper for lbfgsb v3.0 fortan library. L-bfgs-b solves box-constrained optimization. (optimization, constrained optimizat..., quasinewton)

Non-negative least-squares (NNLS) using L-BFBS-B

compile_mex

lbfgsb

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updated 12 months ago

Grey Wolf Optimizer Toolbox by Seyedali Mirjalili

A toolbox for the Grey Wolf Optimizer (GWO) algorithm (optimization, grey wolf optimizer, gwo)

CostFunction( x )

GWO(SearchAgents_no,Max_iter,lb,ub,dim,fobj,handles,Value)

GWO_toolbox(varargin)

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updated 1 year 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)

AGPSO1(N,Max_iteration,lb,ub,dim,fobj)

AGPSO1(N,Max_iteration,lb,ub,dim,fobj)

AGPSO1(N,Max_iteration,lb,ub,dim,fobj)

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updated 1 year ago

Stochastic Fractal Search (SFS) by Hamid Salimi

Hamid Salimi (view profile)

A novel and powerful metaheuristic algorithm that you can always rely on it (optimization, metaheuristic, fractal)

Bound_Checking(p,lowB,upB)

DeJong(x)

Diffusion_Process(Point,S,g,BestPoint)

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updated 1 year ago

fminsdp by Carl-Johan Thore

A code for solving non-linear optimization problems with matrix inequality constraints. (constrained optimizat..., matrix inequalities, nonlinear optimizatio...)

H_ipopt(x,sigma,lambda,data)

Lagrangian(x,lambda,nonlcon,data)

c_ipopt(x,data)

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updated 3 years ago

Optimal Inverse Function Creation by Alan Jennings

Creates continuous, optimal inverse-functions: given a desired output, finds the optimal input (inverse, optimization, multidimensional)

InvFun_Test

InvFun(Pop_I,ProbStrut)

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updated 3 years ago

mex interface for bound constrained optimization via ASA by Stephen Becker

Stephen Becker (view profile)

ASA solves bound constrained problems; the user provides routines to calculate the function and grad (bound constrained, optimization, constrained optimizat...)

test_ASA.m

asa_fcn(x,varargin)

asa_fcnGrad(x,varargin)

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updated 5 years ago

Heuristic Algorithm for finding Maximum Independent Set by Roberto Olmi

Outputs the independent set of maximum cardinality. Runs in O(n^2) time, n=graph size. (independent set, vertex cover, clique)

findMIS(AD,priority)

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updated 5 years ago

A greedy algorithm for data sharpening and constraint handling by Mark Wolters

Moves data points to make an estimator (like a kernel density estimate) satisfy given constraints (statistics, constrained optimizat..., data sharpening)

improve(y0,x,confun,varargin)

iteratedimprove(y0,x,confun,reps,noise,varargin)

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updated 9 years ago

Hill climbing optimization by Alexandros Leontitsis

Constrained hill climbing optimization (optimization, hill climbing, constrained optimizat...)

hill(fitnessfun,x0,options,varargin)

hilloptions(varargin)

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