Download software tagged by free genetic programming

A unique pattern recognition application that deals with finding optimal solutions to classification problems and uses several artificial intelligence techniques including neural networks, genetic programming and genetic algorithms.

Creates agent-based financial market simulation models for trading stocks, ETFs or other securities. Evolution of competing trading strategies through genetic programming and market pricing dynamics collectively generate trading signals.

Creates agent-based financial market simulation models for trading stocks, ETFs or other securities. Evolution of competing trading strategies through genetic programming and market pricing dynamics collectively generate trading signals.

Genetic System can be used to solve optimization problems. This component can be used to construct binary genetic system, it provides user with appropriate functionality to control the generation.

Run BASIC is a powerful all-in-one web programming system designed to make personal web programming easy. Capabilities include graphics, XML, SQLite database, Cascading Style Sheets, and more. Help file, tutorial and example programs included.

It is a generic-purpose codeless programming system. it can be used for database applications, multimedia cdrom authoring, kiosk, business management applications, internet payphone kiosk.

Linear programming library to solve constrained optimization problems arising in various industrial, financial and educational areas. Optimization problems are stated as linear programs that size can be unlimited.

The practical aspects of programming are considered in Borland "Delphi 2005 for .NET" The questions of realization are described .NET in Delphi, and also syntax and objective models of two programming languages Delphi and S#.The features of developme

Linear programming environment to solve constrained optimization problems arising in various industrial, financial and educational areas. Optimization problems are stated as linear programs that size can reach up to 500 thousand decision variables.