Multiobjective Genetic Algorithm

This program uses an Excel data file "DATA.xls" as an input to the program. the input file consists these worksheets: 1.input load data (active power of each load block and their X-Y cooedinates 2. present transformers and their capacities in kVA 3. candidate points for new transformers 4....

[M,B] = AG_RECTA(X,Y) finds the the slope M and the y-intercept B of the line that better fits to the X,Y data. X and Y are vectors of the same length.

This program is an implementation of nondominated sorting genetic algorithm II (NSGA-II) proposed by K. Deb. Capabilities:1. R-NSGA-II: Reference-point-based NSGA-II.2. Coding: real, integer.3. GA operator: Intermediate crossover, Gaussian mutation.4. Constraint handling.5. Parallel computation...


Platforms: Matlab

http://simulations.narod.ru/The task is to pack big box with several small boxes. The objective is to maximize total area of all small boxes. I made fitness in follow way: it is area minus penalty in case of overlapping small boxes also overlapping area subtracted from fitness. There are several...


Platforms: Matlab

http://simulations.narod.ru/There is a set of cities (points) in 2d plane. Each city has road to each city. We need to find loop-path that will be in each city only one time and path length is minimal. There are lot of paths with different lengths. A path can have crossover with another path and...


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: Matlab

ga-flamoot is a genetic algorithm in Python for evolving programs that write a given string to an allocated dataspace, using a made-up machine language with only 7 instructions and flow reversal.


Platforms: *nix

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create...


Platforms: Matlab

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...


Platforms: Matlab

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle...


Platforms: Matlab

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

GeneThello , is an acronym for genetic othello, an othello (reversi) playing program which based on Genetic Algorithm (GA). In principle GeneThello consist of an othello program and a genetic algorithm system.


Platforms: Mac

Crogai consists of a mixture of crowd simulation, AI, and genetic algorithms. It is possible to set up simulations and test different AI in a full 3D environment with a small physics engine, terrain, collision handling, etc. Crogai is inspired by the OpenSteer projet and uses steering behaviors...


Platforms: *nix

Charlemagne is a genetic programming application which aims to be highly configurable and applicable to a broad range of problems.It is written in Python and Lisp and to some degree is extensible in both languages. It features built-in input-output mapping support, but also provides the ability...


Platforms: *nix, Python, BSD

This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/wbnr43346MultStart Demos * Peaks Minimization * Nonlinear Curve FittingGlobalSearch Demos * Peaks Minimization * Volumentric Efficiency MaximizationSimulated Annealing Demos *...


Platforms: Matlab

M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005These files provide what you need to run the two demos:1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also...


Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to...


Platforms: Matlab

Please see PORTOPTGADS, by following link 'Published m-files' below.PS. The cool picture is a visualization of Rastrigin's function, taken from Genetic Algorithm and Direct Search Toolbox documentation.


Platforms: Matlab

This code implements a Markov chain Monte Carlo algorithm which automatically and efficiently tunes the proposal distribution to the covariance structure of the target distribution. This is achieved while maintaining the target distribution as the stationary distribution of the Markov chain. The...


Platforms: Matlab

Documentation is still very sparse and any help is appreciated. Otherwise bear with me I hopefully will be able to provide the first properly documented version soon. You can download the latest source code from the sourceforge summary page Some information about the genetic algorithm joint...


Platforms: Mac