Search Results for "genetic algorithm java" - Page 5
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Showing 186 open source projects for "genetic algorithm java"
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Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
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ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
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Distributed Ant Robotics is divided into two parts. First is the simulation of “ant colony”. Second part is the algorithm application. Where you can use algorithms for ant behavior.
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TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
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Cutting Problem solved by Genetic algorithms. The goal is to cut a rectangular plate of material into more smaller rectangles. The cuts must be rectangular and guillotinable.
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Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.
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Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
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The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
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TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
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JGenAlg is a java toolbox for working with metaheuristic procedures (Genetic Algorithms, Island model, Particle Swarm, Ant Swarm). JGenAlg have a GUI, a Client/Server architecture, work with threads and can be use under distributed enviroments.
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JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
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A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
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The Decision Tree Learning algorithm ID3 extended with pre-pruning for WEKA, the free open-source Java API for Machine Learning. It achieves better accuracy than WEKA's ID3, which lacks pre-pruning.Info: http://bruno-wp.blogspot.com/search/label/Softwar
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A discretization algorithm based on the Minimum Description Length. Implemented as a filter according to the standards and interfaces of WEKA, the Java API for Machine Learning. More Info: http://bruno-wp.blogspot.com/search/label/Software
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The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
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Wodka is the implementation of a genetic algorithm (GA) that can bread two dimensional structures that might be used as robots in sodarace competitions.
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Proposed is an algorithm that uses computer vision, combined with a modified Rubine classifier, to allow arbitrary N-sided polygons as accepted sketches in real-time.
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Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
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RL HNFP is a neuro Fuzzy model which can automatic generate set of rule. So it can implement in domain although human don't have knowledge on it. This project implement that algorithm in Java so other people can use that for their application
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DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
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The project implements Dana Angluin's learning algorithm with intent to look into the possibility of computational learning of changing (shifting) information.
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The JefNET (Java Evolutionary Framework Network) Proj. consists of three subprojects: JEF, Dna, JXTAJef. Our intent is to provide a distributed genetic programming framework for the Java language, and a network in which classes can spontaneously evolve.
