Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
Easy CSS Menu 5.0
Bytescout PDF SDK 1.7.0.222
Kickstarter clone script 2.0.5
Indiegogo Clone 3.0
Mercato 1.0
Readymade PHP Classified Script 3.3
Udacity Clone Script 1.20
PHP News Script 1.0.5
Exe Guarder 4.14
dbForge Search 2.2
EaseClouds Virtual File System SDK 2.1.1.2
dbForge SQL Decryptor 3.1
Fortune Gigs Script 2.03
Pricing Plans and Subscription Payment Script 1.0
PHP Image Resize Script 1.0
Top Code
Billing System 1.0.1
StreamChat 6.6
latgsqr 1.0
TAdvPicture 1.2
Simple Hill-Climbing 1.0
JNAerator / NativeLibs4Java 1.0
Best Spotify Clone 1.0
Revenue Auto Pilot 1.0
PostDate 2.4.40
CONVOLUTION IN MATLAB WITHOUT USING conv(x,h) 1.0
An SVG framework in C# and an SVG-GDI+ bridge
Readymade MLM Software 2.02
ASIO Proxy
JDrawingPanel 0.1
Javast 1.0
Top Rated
PHP Image Resize Script 1.0
Jango Clone Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
Travel Portal Script 9.29
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Sine Wave Using JavaFX 1.0
ICPennyBid Penny Auction Script 4.0
GA+RANN+MTS 1.0
File ID: 124538






GA+RANN+MTS 1.0
Download GA+RANN+MTS 1.0http://garant.sourceforge.netReport Error Link
License: Freeware
Downloads: 3
Submit Rating:
GA+RANN+MTS 1.0 Description
Description: Tool for investigations in MTS (Mechanical Trading Systems) field, based on core idea of Genetically modificated Recursive Arithmetic Neuron Nets.

License: Freeware

Downloads: 3



More Similar Code

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.

The objective is to find the pareto front of the MOO problem defined as follows:
Maximize:
f1(X) = 2*x1 + 3*x2
f2(X) = 2/x1 + 1/x2
such that:
10 > x1 > 20
20 > x2 > 30

The set of non-dominated solutions is plotted in the objective space, and...



A general purpose GA toolkit implemented in Java, designed for experimenting with genetic algorithms and handling diverse optimization problems.



If you're thinking of powering your next Web site with the latest in Microsoft Internet technologies, and you program in Visual Basic (VB), then Professional MTS and MSMQ with VB and ASP is for you. This fast-paced tutorial gives you a crash...



xPermission is a MTS aware component that gives you swift and easy access to information about, and creation of Windows NT user groups and accounts. It encapsulates chosen parts of the Microsoft ADSI 2.0 NTLM provider. xPermission is perfect for...



This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot
arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a...



This code is an application of GA.
It solves the following problem:
Draw the largest possible circle in a space of stars without enclosing any of them.
The final output is a plot of the stars and the largest possible circle is drawn



The ternary phase diagram of the Al-Ga-Sb system was calculated in the whole domain of compositions on the basis of the simple solution model. AlGaSb_PhaseDiagram is a GUI wich can be used to grow epitaxial layers by means of Liquid Phase Epitaxy....



Finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed or the salesmen to travel to each city exactly once and return to their...



This function uses Evolution Strategies (ES) instead of Genetic Algorithms (GA) as Evolutionary Algorithm (EA) in the NSGA-II procedure for multi-objective optimization.

The algorithm is able to find the pareto optimal front in most of...



ECF is a C++ framework intended for application of any type of evolutionary computation (GA/GP, DE, PSO, GAn...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.

User Review for GA+RANN+MTS
- required fields
     

Please enter text on the image