Seems to me that the only way to test its consistent logic is to apply consistent input, … or treat each iteration as a single automaton whose state is tested before and after that iteration, turning the overall nondeterministic system into testable components based on deterministic iteration values. For variations/breeding/attribute inheritance in iterations, test those … Read more
At the language level, there’s no such thing as “bitwise operation on floating-point numbers”. Bitwise operations in C/C++ work on value-representation of a number. And the value-representation of floating point numbers is not defined in C/C++ (unsigned integers are an exception in this regard, as their shift is defined as-if they are stored in 2’s … Read more
After developing my own Genetic Programming didactic application, I found a complete Genetic Programming Framework called AForge.NET Genetics. It’s a part of the Aforge.NET library. It’s licensed under LGPL.
A genetic algorithm is a class of evolutionary algorithm. Although genetic algorithms are the most frequently encountered type of evolutionary algorithm, there are other types, such as Evolution Strategy. So, evolutionary algorithms encompass genetic algorithms, and more.
From wikipedia: A genetic algorithm (GA) is a search technique used in computing to find exact or approximate solutions to optimization and search problems. and: Neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data. If you have a … Read more
Not homework. My first job as a professional programmer (1995) was writing a genetic-algorithm based automated trading system for S&P500 futures. The application was written in Visual Basic 3 [!] and I have no idea how I did anything back then, since VB3 didn’t even have classes. The application started with a population of randomly-generated … Read more