Search Results for "genetic algorithms" - Page 13
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Showing 366 open source projects for "genetic algorithms"
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This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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The goal of this project is to create a complete chess game which particularity is to have an evaluation function (to give a score to a position) generated automatically. For this we use between others, Genetic Algorithms.
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Gazoo is a Java framework for genetic algorithms development. Gazoo provides the core of a genetic algorithm, leaving to the user the implementation of specific-problem classes.
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Java library devoted to handle Genetic Algorithms and Classifier Systems. It has been engineered to be used into agent based simulation models and to search bounded optimal solutions in wide solution spaces. It runs on distributed clusters.
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Kandid generates images using genetic algorithms. In a simulated evolution surprising images can be found calculated with Lisp expressions, Textures, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, Lindenmayer Systems and POVray
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With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
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Pure Java full-featured multi-player gaming system Pluggable, configurable game engine Distributable, load-balancing, "world engine". flocking, Genetic Algorithms and neural networks 3D clients, ZMUD(tm) clients, regular TELNET access (TCP/UDP
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Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.
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Java based system for creating Bio-Musical Worlds. Investigating the use of AI (flocking,A-Life, Genetic Algorithms, Neural Networks) and other bio-modelling techniques for the creation and evolution of musical landscapes.
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MPIGALib is a parallel genetic algorithms library built on Mathew Walls GALib and MPI that allows genetic algorithm enthusiasts and researchers to parallelize there serial genetic algorithm implementations.
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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STAR, stand-alone advanced c++ algorithm library, addressing mathematical/statistical problems, genetic algorithms, and a framework of system functions (including, but not limited to, XML parsing and writing, sorting, hashing, etc.)
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A flexible and easy-to-use physics engine for 2d written in java. A similar engine for 3d in c++, and a AI able to interact with the physics engine, affecting the world, written in c++ using neural nets and genetic algorithms.
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Solving the travelling salesman problem with genetic (evolutionary) algorithms. The distance calculations are based on geographical coordinates. The progress of the algorithm is visualized with a geo-map and some statistics.
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A genetic algorithms simulation that evolves agents to adapt to their habitat (simulated in 3D). It's based on Java3D and Camera3D (http://camera3d.sourceforge.net). The agent (called Woxbot) is controlled by a state machine and has simulated vision.
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Java Genetic Algorithms Package (GAlg) is a highly-extensible, simple, and easy to understand implementation of genetic algorithms in 100% Java.
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This library defines classes for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators. The distribution includes extensive documentation and many examples.
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Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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GAPI (pronunced gappy) is the Genetic Algorithms Programming Interface - a set of Java classes that allow users to easily integrate Genetic Algorithms into their Java programs. See "GAPI specs" in the Feature Requests forum for more info.
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Jeep is a modular, abstract and distributed evolutionnary programming core written in Java, allowing to grow autonomous agents as well a gene pool (as in genetic algorithms).
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Automated MapMaker for the Diplomacy boardgame. Using Genetic Algorithms and some user-defined criteria, DipMap will try to generate a playable Diplomacy map.
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OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.
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This project aims to explore adaptive routing algorithms using genetic programming in a discrete-event simulation of a peer-to-per network.
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Java implementation of genetic algorithms. It is inspired from galib, written by Matthew Wall, but differs in the actual design and implementation.
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A collection of portfolio management components. Sharpe Model for selection of an initial portfolio is already implemented. A genetic algorithms package, also written in java, is used for the search of the best portfolio variants.
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An OpenGL simulation of artificial life and artificial evolution using neural networks and genetic algorithms based on Larry Yaeger's PolyWorld.