Search Results for "genetic algorithm c" - Page 53
Sort By:
Showing 1385 open source projects for "genetic algorithm c"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
sectar: a program that creates encrypted tape archives(tar files), using the AES algorithm Rijndael. Encryption exported under exemption TSU 740.13. Was star, now sectar.
-
2
The goal of the Rats and Mazes project is to build a simple genetic algorithm to find general solutions to random non-cyclic single path mazes. I believe that the solutions will tend towards either the right/left-hand rule.
-
3
A Genetic Algorithm Training System in Python. Gatspy provides the framework, the user provides the error (fitness) function. Gatspy will evolve a solution that attempts to minimize the error.
-
4
-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
5
-
6
aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
-
7
This is a very simple implementation of the genetic algorithm framework presented by John Holland, based on Goldberg book Genetic Algorithms in Search, Optimization and Machine Learning.
-
8
R based genetic algorithm for optimization, variable selection and other machine learning and statistical analysis approaches.
-
9
Application to test a GA solution for the Knapsack problem, it will compare Genetic Algorithm solution of the Knapsack problem to greedy algorithm.
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks. -
11
This project aims at using the Artificial Intelligence (AI) algorithm called the Genetic algorithm to solve the problem of placement in the FPGA circuits.
-
12
Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
-
13
A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
-
14
-
15
A distributed genetic engine which evolves a b&w image vectorizer. The individuals have an "eye", a "brain" and a "hand". The purpose of the project is to get insight of the auto-organization (if any) of drawing primitives in the individual's brain.
-
16
The SBMLevolver is an evolutionary algorithm package that creates SBML models with user-specified properties and behaviour from a given set of building blocks. Applications lie in network reconstruction and synthetic biology.
-
17
GP@home is a new group/project dedicated to fully utilizing the combined concepts of genetic programming and distributed computing to improve the quality of life for all human beings. Nothing is impossible working together.
-
18
Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
-
19
The Algorithm Load Analyzer enables developers to test algorithms for resource usage analysis. The algolyzer library provides real-time monitoring and implementation-level recording of system resource loads during the execution of custom routine(s).
-
20
-
21
-
22
GAZES - Genetic Algorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use genetic algorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.
-
23
biojazz
In silico evolution of biochemical networks.
In silico evolution of biochemical networks using a genetic algorithm combined with a rule-based biochemical network model. -
24
Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.
-
25
Profiled Endwall Design
A genetic algoritm based system for generating profiled endwalls.
This code is based on the Durham Endwall Design System used to produce endwall designs for low speed linear cascades. It consists of a number of Octave scripts which run mesh generators and flow solvers and uses a genetic algorithm to find the optimal solution.
