benchmark-functions

There are 2 repositories under benchmark-functions topic.

lobocv / pyperform
An easy and convienent way to performance test python code.
benchmark-functions benchmarking performance-test python speed-test timeit
Language:Python 223
thieu1995 / opfunu
A collection of Benchmark functions for numerical optimization problems
benchmark-functions cec-2005 cec-2008 cec-2010 cec-2013 cec-2014 cec-2015 cec-2017 cec-2019 cec-2020 cec-2021 cec-2022 convex-optimization global-optimization multimodal-functions non-convex-optimization soft-computing unconstrained-optimization unimodal-functions
Language:Python 133
jakobbossek / smoof
Single- and Multi-Objective Optimization Test Functions
r-package r multi-objective-optimization single-objective-optimization benchmark-functions
Language:R 36
sjvrijn / mf2
Collection of Multi-Fidelity benchmark functions
multi-fidelity benchmark-functions benchmark-suite benchmarking-suite python
Language:Python 26
zaman13 / Particle-Swarm-Optimization-Fortran-95
A Fortran 95 code for Particle Swarm Optimization. The code is general. The fitness function is defined in a separate file and can be replaced by any user defined fitness function.
benchmark-functions evolutionary-algorithms evolutionary-optimization optimization-algorithms particle-swarm-optimization pso swarm-intelligence
Language:Fortran 12
Muradmustafayev-03 / Optimisation-Algorithms
A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning
applied-mathematics benchmark-functions machine-learning metaheuristic-optimisation optimization optimization-algorithms python algorithm data-science genetic-algorithm gradient-descent harmony-search artificial-intelligence ai genetic-algorithms ml
Language:Python 9
rbalexan / BenchmarkFunctions.jl
A set of common benchmark functions for testing optimization algorithms in Julia
optimization benchmark-functions julia
Language:Julia 8
rajupaljiit / Meta-heuristic-Algorithms
This repository is used to implement and analyze nature inspired computing algorithms on various benchmark function. We also try to solve some real world problems by MHA.
benchmark-functions
Language:MATLAB 6
ElkmanY / pso
This repository contains the standard Particle Swarm Optimization code (Matlab M-file) for optimizing the benchmark function.
benchmark-functions matlab-code matlab-toolbox optimization-algorithms particle-swarm-optimization pso
Language:MATLAB 5
chasebk / code_ISLO_ELM
A study on swarm intelligence optimizing neural networks for workload elasticity prediction
benchmark-functions cec2014 cec2015 extreme-learning-machine functional-link-neural-network improved-sea-lion-optimization metaheuristic-algorithms multi-layer-perceptron nature-inspired-algorithms neural-network swarm-based-optimization time-series-prediction
Language:Jupyter Notebook 3
luclaurent / optiGTest
**optiGTest** is a MATLAB's toolbox which regroups many existing test functions used for studying the performance of approximation techniques and optimization strategy. In particular, gradient of the test functions are provided.
testing-tools gradient derivatives optimization benchmark-functions
Language:HTML 3
osmangokalp / CONTOPT-JS
Javascript implementations of some of the main metaheuristic algorithms for bound constraint single objective continuous optimization problems.
metaheuristics continuous-optimization javascript optimization wireless-sensor-network benchmark-functions
Language:JavaScript 3
QiqiDuan257 / evopt-lso
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
matlab matlab-library evolutionary-computation evolutionary-computing evolutionary-algorithms black-box-optimization derivative-free-optimization zeorth-order-optimization gradient-free-optimization large-scale-optimization random-search cma-es benchmark-functions test-functions evolution-strategies direct-search
Language:MATLAB 2
ChristophBodenstein / TimeNETOptimizationEnvironment
Optimization environment for TimeNET
simulation optimization benchmark-functions batch-simulation multiphase
Language:Java 1
ElkmanY / hho
This repository contains the Harris Hawks Optimization code (matlab M-file) for optimizing the benchmark function.
benchmark-functions harris-hawks-optimization matlab-codes matlab-toolbox optimization-algorithms
Language:MATLAB 1
mikediessner / benchfuncs
Benchmark functions to test optimisation algorithms.
benchmark-functions numpy optimization test-functions
Language:Python 1
ElkmanY / bmkfcn
A MATLAB toolkit of benchmark functions for numerical experiments of optimization.
benchmark-functions matlab-codes matlab-toolbox numerical-experiments optimization
Language:MATLAB 0
sippathamm / BenchmarkFunction
Benchmark functions for validating optimization algorithm in C++
benchmark-functions benchmark-problem
Language:C++ 0
LaSEEB / openpso
An efficient, modular and multicore-aware framework for Particle Swarm Optimization
particle-swarm-optimization pso benchmark-functions
Language:C
MohEsmail143 / numerical-optimization-techniques
A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).
benchmark-functions conda constrained-optimization dejong easom exterior-penalty-function-method golden-section-search gradient-descent jupyter-notebook matplotlib miniconda optimization optimization-methods python rastringin-function rosenbrock-function unconstrained-optimization brainin powell-method univariate-search
Language:Jupyter Notebook