Genetic Algorithm Flight Control

A hierarchical representation language for music, which can be used as a human algorithmic composition tool or as a semi-automated composition tool using a genetic algorithm with human listeners as the fitness function.

POGA - Parameter's Optimization by Genetic Algorithm - Developed by Leonardo Santos (LAC-INPE :: santoslbl@gmail.com) and José Miranda (IF-UFBA :: vivas@ufba.br). 114 Downloads of the first version. Second version avaliable.

This easy to run and change program for developers, it contains several evolutionary based strategies allowing you try among some function samples


Platforms: Windows, Mac, Linux

Finds a (near) optimal solution to a variation of the "open" M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to unique individual cities without returning to the starting location).Each salesman starts at the...


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

This software contain two examples gatest.m and gatest.1.By running the programs as they are in the default folder. The allocation minimum fuel cost and transmission losses can be determined.% The Example system is taken from the book Power System Analysis by Prof Haadi Sadaat Example 7.8% the...


Platforms: Matlab

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....


Platforms: Matlab

[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.


Platforms: Matlab

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

MicroGear is an aerial robotics application that is robust, highly capable, highly configurable, open, and interfaceable. Along with high levels of capability, MicroGear focuses on robustness, high performance, and minimal memory and disk footprints.


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