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  • Evolving Register Network using Genetic Algorithms in C# 9/23/2012 6:59:13 AM. Genetic Algorithms are powerful AI tools because they can evolve through trial and error and converge into a solution. In this article we will use genetic algorithms to come up with an analog solution.
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  • Using PLINQ to Improve Learning Algorithms12/2/2009 6:52:16 AM. PLINQ is a welcome addition to the .NET 4.0 framework, allowing us to operate on collection elements in parallel. This article examines the performance improvements of PLINQ over LINQ when doing heavy calculations on a large collection of genomes in a particular learning algorithm.
  • AI: Using Genetic Algorithms and NetSpell to Solve Anagrams1/31/2007 7:30:34 AM. Remember the puzzles where you are given a jumble of letters and you have to unscramble a word? This article shows you how to use a genetic algorithm and NetSpell, an open source spell checker, to solve these anagram puzzles.
  • Solving Polynomial Equations with Complex Roots using Genetic Algorithms in C#1/29/2007 4:42:38 AM. This article features a program in which the user can enter a polynomial equation and it will use GAs to determine the complex roots.
  • Using Genetic Algorithms to Determine Calculus Derivative Functions in C# and.NET11/27/2006 7:29:02 AM. This article describes how you can use genetic algorithms in .NET to determine derivatives of mathematical functions. The program uses an algorithm called Multiple Expression Programming (MEP) inside the genomes to exercise a function tree.
  • Biology Inspired Computing Work in C#8/31/2006 5:25:07 AM. Biology teaches us a set of rules defined by nature that have evolved over millions of years. So, if you want to put intelligence into something simplifying the world around you into basic rules can give you a big head start.
  • Using Genetic Algorithms to Generate Evolutionary Art in C# and .NET8/31/2006 4:12:08 AM. In this article we will experiment a bit with genetic algorithms and creating fitness functions that produce art on a Windows Form.
  • Gene Expression Programming (GEP) in C# and .NET8/31/2006 2:38:24 AM. Gene Expression programming (GEP) is a subset of Genetic Algorithms, except it uses genomes whose strings of numbers represent symbols. The string of symbols can further represent equations, grammars, or logical mappings.
  • Mastermind Computer Player using Genetic Algorithms in C#2/1/2006 12:42:43 AM. After writing the Genetic Algorithm Article for implementing a Genetic Algorithm in C#, I tried to think of a good example of how to illustrate a real-world use of Genetic Algorithms to illustrate artificial intelligence.
  • Implementing a Genetic Algorithms in C# and .NET12/29/2005 12:22:54 AM. One of the more interesting developments that has come out of the Artificial Intelligence world is the invention of Genetic Algorithms.
  • Using Genetic Algorithms to Design Logic Circuits in C#12/26/2005 4:18:09 AM. The article goes to explain that GA (Genetic Algorithms) have been used by various programmers to come up with 15 previous patented inventions + (and here is the startling part) some new ones! I can see the running joke in the patent office now.
  • Evolving Numeric Series using Genetic Algorithms in C#12/16/2005 5:58:08 AM. If you ever browsed around the book store, you'll notice these puzzle books or IQ test books and some of the books contain questions asking you to complete a series of numbers.