Fusion IK: Solving Inverse Kinematics using a Hybridized Deep Learning and Evolutionary Approach
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Updated
Jun 17, 2024 - C#
Fusion IK: Solving Inverse Kinematics using a Hybridized Deep Learning and Evolutionary Approach
🐛 old high school project using neural networks and a genetic algorithm for simulating a species that has one goal: survive by eating food.
CSP Solver made in Windows Forms (C# .NET Framework).
Implementation of a Genetic Algorithm in C#
Using evolutionary algorithms to simulate population progression, gene inheritance and species coexistence in artificially created environment
NeuroEvolution of Augmenting topologies
Map generation using genetic algorithms
My first try to create GA
Genetic algorithm in C#
Teaching a Neural Network to count using Genetic Algorithms.
Genetic Algorithm tests in C#. Simple string finder. Robot controller for maze solving. Scheduler with optimal timetable. Traveling salesman problem. Generic GA. Lottery prediction.
GeneticAlgorithm_App is a Windows Forms application designed to demonstrate and implement genetic algorithms (GAs) for solving optimization problems.
Balancing a ball on a platform using a Neural Network
This genetic algorithm uses natural selection and mutation to generate a random 'being' which fulfill a determined goal.
A test for the my Genetic Library. The Traveling Salesman problem solved with Genetic Algorithms.
Implementation of the Box and Line crossover operators in their general form
Double Sided Assembly Line Balancing with Genetic Algorithm (C#)
Solving Logic Gates with Neural Networks optimized with Genetic Algorithms. A basic test for my GeneticLib.
Basic test for GA: finding N numbers that give a certain sum
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