Optimization Algorithm

Optimization Algorithm Toolkit is a workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more. The project...

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be...

Gravitational search algorithm (GSA) is an optimization algorithm based on the law of gravity and mass interactions.This algorithm is based on the Newtonian gravity: "Every particle in the universe attracts every other particle with a force that is directly proportional to the product of their...


Platforms: Matlab

An animated simulation of Particles in 2D searching for a global minima of a simple function using Particle Swarm Optimization algorithm


Platforms: Matlab

This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is available on the MATLAB core. The PSO performs very well...


Platforms: Matlab

A Java workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains; including reference algorithm implementations, graphing, visualizations and much more.


Platforms: Windows, Mac, Linux

A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here. This code demonstrates how CS works for unconstrained optimization, which can easily be extended to solve various global optimization problems efficiently.


Platforms: Matlab

It is a hill climbing optimization algorithm for finding the minimum of a fitness function in the real space. The space should be constrained and defined properly. It attempts steps on every dimension and proceeds searching to the dimension and the direction that gives the lowest value of the...


Platforms: Matlab

We propose a new global optimization algorithm based on a harmony search scheme, termed as harmony element string algorithm (abbreviated as HEA). The algorithm has five fundamental features: (1) The states of the system is represented by strings of elements {0,1,2,3,4} and hence the search of the...


Platforms: Matlab

Acovea implements a genetic algorithm for finding the "best" options for compiling programs with the GCC C and C++ compilers. ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the "best" options for compiling programs with the GNU Compiler...


Platforms: *nix

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a random stochastic objective function.To run the first demo run the file...


Platforms: Matlab

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) compiles various population-based global optimization schemes.It handles both single- and multi-objective optimization, simply by adding additional objective functions.It solves optimization problems using...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

- Filter can be FIR or IIR.- Filter type can be lowpass, highpass, bandpass, or bandstop.- Direct methods or optimization ones can be used during the design procedure.In order to learn how you can use this toolbox, please copy all the codes included in the "Dig_Filter" folder into the current...


Platforms: Matlab

Classical optimal hedge ratio concentrates on risk reduction and neglects strategic value maximization. In this study, the authors use stochastic-optimization theories to formulate an optimal, short-term hedging scheme to mitigate risks while maximizing portfolio value. Stochastic spot and...


Platforms: Matlab

Enblend project is a postprocessing tool for creating panoramic images. After you align image features using a program like Hugin, there are often photometric problems that lead to ugly seams in the final composite. Enblend blends away these seams using a multiresolution spline. This technique...


Platforms: *nix

StrBio is a set of Java classes and libraries useful for development of software for computational structural biology research. They are licenced under the LGPL. he strbio.org classes are the basis for several published research projects, including the Pred2ary secondary structure prediction...


Platforms: *nix

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be...


Platforms: Matlab

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

Fraqtive is an open source, multi-platform generator of the Mandelbrot family fractals. It uses very fast algorithms supporting SSE2 and multi-core processors. It generates high quality anti-aliased images and renders 3D scenes using OpenGL. It allows real-time navigation and dynamic generation...


Platforms: *nix

A few popular metaheuristic algorithms are included, such as the particle swarm optimization, firefly algorithm, harmony search and others.


Platforms: Matlab