Search Results for "genetic algorithm php" - Page 6
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Showing 222 open source projects for "genetic algorithm php"
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This easy to run and change program for developers, it contains several evolutionary based strategies allowing you try among some function samples
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LazyEngine is a collection of Tools for PHP, C# and JavaScript (based on JQuery). The goal is to have a Library that contains most common functions daily used by software developers.
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A small C# Library that provides the scaffolding for Genetic Algorithm based functionality. Requires .Net 3.5 or above.
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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.
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Some utility function and/or class to convert date from Gregorian calendar to Jalali (Hejri Shamsi) calendar in PHP, Delphi (and some other in future) with very fast algorithm.
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Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
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This is implementation of parallel genetic algorithm with "ring" insular topology. Algorithm provides a dynamic choice of genetic operators in the evolution of. The library supports the 26 genetic operators. This is cross-platform GA written in С++.
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In this project we develop a software, that uses evolutionary algorithm to evolve a solution, that can drive a car on an arbitrari path.
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GeeVir - software product specifically designed to search for computer viruses using the GA (genetic algorithms)
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A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
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Controversial ideas of Williamson, Margulis & others suggest speciation by hybridizing might be more common than originally thought. Taking this concept to the nth degree & assuming that indeed, speciation mostly occurs by hybridizing events, not the accumulation of mutations or genetic drift, here is a catalogueoflife2gedcom converter. It allows the tree of life to be displayed as a human genealogy tree with hybridizing events depicted as "marriages." The idea then is that mutation...
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GAAF is a tool for analyzing Genetic Algorithms (GA for short). It allows to check the behavior of a particular GA resolving a particular problem so one can get empirical information to decide which GA best fits problem's conditions.
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.
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JSRSA is a Javascript/PHP implementation of RSA algorithm which help you to simulate SSL-Like secure data transmission over the net as easy as possible !
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TrimGA is a lightweight genetic algorithm library written in pure Java 6.0 that can be quickly applied to most optimization problems.
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gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
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Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
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Springbots is a python application which takes a set of 2d physical structures built with nodes and movable springs and evolve them for specific tasks like walking, swimming and jumping using genetic algorithm.
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ClearPass (formerly BlowPass) is web based password storage system that uses the Blowfish algorithm and a Host-Proof design pattern.
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Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.
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GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.
