Search Results for "knapsack genetic algorithm" - Page 5
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Showing 171 open source projects for "knapsack genetic algorithm"
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Shape is a molecular conformation prediction program. It uses a genetic algorithm to efficiently search the conformational space of a biomolecule and then clusters the results. It is very simple to use.
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This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.
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TrimGA is a lightweight genetic algorithm library written in pure Java 6.0 that can be quickly applied to most optimization problems.
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gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).
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Java API for implementing any kind of Genetic Algorithm 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.
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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 genetic algorithm.
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A Tcl extension for genetic/evolutionary algorithm processing. It is using the GAUL library for the core functionality.
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Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.
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A 2D rigid physics simulator and set of genetic algorithm tools. Evolve cute little walking creatures.
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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.
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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 genetic algorithm with human listeners as the fitness function.
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Trilobots is an arcade-style shooter that evolves the abilities and programming of the enemies using a genetic algorithm. The end goal is to make the evolution transparent, allowing users to learn how genetic algorithms work while having fun.
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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 genetic algorithm and Markov simulations are currently implemented.
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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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Searches for adecuate design for feedforward backpropagation neural network, employing genetic algorithm as refining engine. The result topolgy may not be orthodox.
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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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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.
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gaDesignLib
Genetic algorithm for mechatronic product design
This C++/STL library provides you with the basic genetic algorithms needed for engineering design, such as simple GA and variable population. -
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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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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.