Topic: "benchmark-functions"
lobocv/pyperform
An easy and convienent way to performance test python code.
Language: Python - Size: 678 KB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 223 - Forks: 14
thieu1995/opfunu
A collection of Benchmark functions for numerical optimization problems
Language: Python - Size: 20.2 MB - Last synced at: about 9 hours ago - Pushed at: 9 months ago - Stars: 153 - Forks: 40
jakobbossek/smoof
Single- and Multi-Objective Optimization Test Functions
Language: R - Size: 7.81 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 16
sjvrijn/mf2
Collection of Multi-Fidelity benchmark functions
Language: Python - Size: 1.08 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 27 - Forks: 8
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.
Language: Fortran - Size: 130 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1
Muradmustafayev-03/Optimisation-Algorithms
A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning
Language: Python - Size: 296 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0
rbalexan/BenchmarkFunctions.jl
A set of common benchmark functions for testing optimization algorithms in Julia
Language: Julia - Size: 25.2 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3
ElkmanY/pso
This repository contains the standard Particle Swarm Optimization code (Matlab M-file) for optimizing the benchmark function.
Language: MATLAB - Size: 495 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0
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.
Language: Matlab - Size: 4.39 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 4
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.
Language: HTML - Size: 16.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
osmangokalp/CONTOPT-JS
Javascript implementations of some of the main metaheuristic algorithms for bound constraint single objective continuous optimization problems.
Language: JavaScript - Size: 55.7 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
chasebk/code_ISLO_ELM
A study on swarm intelligence optimizing neural networks for workload elasticity prediction
Language: Jupyter Notebook - Size: 152 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
mikediessner/benchfuncs
Benchmark functions to test optimisation algorithms.
Language: Python - Size: 23.4 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2
ElkmanY/hho
This repository contains the Harris Hawks Optimization code (matlab M-file) for optimizing the benchmark function.
Language: MATLAB - Size: 667 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1
ChristophBodenstein/TimeNETOptimizationEnvironment
Optimization environment for TimeNET
Language: Java - Size: 22.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
sippathamm/BenchmarkFunction
Benchmark functions for validating optimization algorithm in C++
Language: C++ - Size: 18.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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).
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
ElkmanY/bmkfcn
A MATLAB toolkit of benchmark functions for numerical experiments of optimization.
Language: MATLAB - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
LaSEEB/openpso
An efficient, modular and multicore-aware framework for Particle Swarm Optimization
Language: C - Size: 4.37 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1
