Secure by design, portable by default. Recover clean, fast, anywhere. Start a free trial.
Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
Try it Free
Earn up to 16% annual interest with Nexo.
Access competitive interest rates on your digital assets.
Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform.
Geographic restrictions, eligibility, and terms apply.
gaKnn(GeneticAlgorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a geneticalgorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
Java API for implementing any kind of GeneticAlgorithm 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.
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 geneticalgorithm.
Paessler: Easy to Use With Enterprise Power. Free Trial
A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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.
Primarily applied in experimental psychology, where it is used to create experiment schedules. It even can be applied to other planning-activities that have to met boundary constraints. Rando uses a genetic-algorithm to construct a fulfilled schedule.
A hierarchical representation language for music, which can be used as a human algorithmic composition tool or as a semi-automated composition tool using a geneticalgorithm with human listeners as the fitness function.
Trilobots is an arcade-style shooter that evolves the abilities and programming of the enemies using a geneticalgorithm. The end goal is to make the evolution transparent, allowing users to learn how genetic algorithms work while having fun.
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A geneticalgorithm and Markov simulations are currently implemented.
Wodka is the implementation of a geneticalgorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed systems.
A concise example of the classical geneticalgorithm, with a fancy windows terminal display. Features DNA editing, save/load, customizable constraints and statistics logging.
This project aims to improve the Civilization 4 AI using a geneticalgorithm. We also have some alternative AI algorithms which have been custom written that will hopefully also improve the AI.
DrPangloss is a python implementation of a three operator geneticalgorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
NullAllEst is the implementation of a maximum likelihood algorithm to estimate the frequency of a null allele in microsatellite genetic data. A Markov Chain Monte Carlo simulation is used to solve the likelihood function.
A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.