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NSGA - II: A multi-objective optimization algorithm

NSGA - II: A multi-objective optimization algorithm
A function for multi-objective optimization using evolutionary algorithms. 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.

Basic Illumination Model in C#

Basic Illumination Model in C#
Theta is defined as the angle between a light ray and a normal vector at the intersection ... Phi is defined as the angle between the reflected light ray at the intersection point P on the ... i' = i - (2 * n * dot(i, n)). where. i = incidence light ray. n = normal at intersection.
Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm

Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm

lensy

An experimental program for modelling geometric light ray paths with lenses and mirrors that have simple surfaces. For general optical design, a convenient user interface would be an improvement, because it has one, not. .2010-10-27 .

Miner3D_viewer ActiveX control (for Miner3D game)

Miner3D_viewer ActiveX control (for Miner3D game)
degree of rotated numbers FogColor: color of the fog FogDensity: the density of the fog Interval: like timer but adding refresh screen Light1: the light ray from up to down PickLessExact: less exact when pick SeeAngle: see angle SeeFarthest: see farthest SeeNearest: see nearest. Event:.

Brainnet 1 - A Neural Netwok Project - With Illustration And Code - Learn Neural Network Programming Step By Step And Develop a

Brainnet 1 - A Neural Netwok Project - With Illustration And Code - Learn Neural Network Programming Step By Step And Develop a
Einstein got the spark of Relativity theory from an intuition that came to his mind - i.e, One day he thought, what may happen if we travel with a light ray (in the same speed), and see it from there. 2. Introducing BrainNet Library - Developing A Simple Neural Digital Gate.

PSO优化工具箱 particle swarm optimization-野村客分享

微粒群算法(particle swarm optimization)优化工具箱The PSO belongs to the class of direct search methods used to find an optimal solution to an The particle swarm optimization algorithm is simple,

Object-Oriented Optimization Toolbox (OOOT)

Object-Oriented Optimization Toolbox (OOOT)
the problem formulation can be in another library or exe and can be customized at run-time instead of compile time. It is even possible to have the optimization algorithm change in response to the nature of the design variables and the number of constraints.

Fraqtive

Fraqtive
.Highly optimized calculations taking advantage of the SSE2 extension and multi-core processors with a special optimization algorithm. Zoom in and out, move and rotate the fractal in real time with the image automatically updated.

Hybrid Particle Swarm Optimization

A hybrid Particle Swarm Optimization algorithm for functions in the real space. 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

Support Vector Machines Data Mining Plug-in in Analysis Services

Support Vector Machines Data Mining Plug-in in Analysis Services
Support Vector Machine plug-in in Analysis Services. What is it?. The Support Vector Machines (SVM) plug-in is a data mining plug-in in SQL Server Analysis Services. It provides an additional classification algorithm above the algorithms shipped with Analysis Services. Classification is the

Five elements algorithm

Five elements algorithm
we propose a new global searching optimization algorithm, termed as harmony elements algorithm. Trad.... MATLAB 7.4 (R2007a) elements, harmony, new global optimization algorithm, optimization, searching .

Particle Swarm (粒子群)优化仿真 - Particle Swarm Optimization Simulation

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

ASCO (A SPICE Circuit Optimizer)

project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs. .2010-08-01 .

IconLib - Icons Unfolded (MultiIcon and Windows Vista supported)

IconLib - Icons Unfolded (MultiIcon and Windows Vista supported)
Indexed 1 bit (Black&White) = 1/8 byte per pixel or 8 pixel per byte. In IconLib color reduction algorithm works pretty close with the palette optimization algorithm. Before a pixel can be converted to an indexed pixel a palette must be available to choose the right color index.

Webkey-X identification software

Identification of biological species via iterational process of giving an ordered set of questions to user. The order is defined by an optimization algorithm, trying to provide the most correct prediction about the questions to ask. .

GeoML

GeoML
This allows to define energy functions based on an image and a model instance, the energy function can be minimized using an optimization algorithm to fit the model on the object contained in the image, thus segmenting the object in the image. MATLAB 7.1.

BotOptimizer

Tired of spending hours of sleep tuning you Robocode Bot?Your bot is full of constants that if wrong tuned would let to awfull performances?BotOptimizer will help you tune the bot, allowing you to define also your optimization algorithm. allowing you to define also your optimization algorithm. .

8 Queens Solution with Genetic Algorithm

8 Queens Solution with Genetic Algorithm
Simply said, solution to a problem solved by genetic algorithms is evolved.". The GA begins, like any other optimization algorithm, by defining the optimization variables. It ends like other optimization algorithms too, by testing for convergence.

Interactive Peak Fitter, version 2.2

Interactive Peak Fitter, version 2.2
A peak fitting program for time-series signals, with sliders to adjust the parameters conveniently. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts.

Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm

Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm
Using Ant Colony Optimization Algorithm to solve Traveling Salesman Problem. In this M-file, the implementation of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the playing iterative course.
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