Search Results for "genetic algorithm path"
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Showing 7 open source projects for "genetic algorithm path"
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Sched-SPM
A C++ schedule generator based on Genetic Algorithm and Hill Climbing
Sched-SPM is a C++ schedule generator for software project staffing and rescheduling based on Genetic Algorithm (GA) and Hill Climbing (HC). This preliminary tool is mainly for academic purpose. It is implemented with GALib (http://lancet.mit.edu/ga/), an open-source toolkit of Genetic Algorithms in various platforms including Unix and Windows. The input and output files of the software are required as XML format. The input file includes tasks' and employees' information according to predefined file format. ... -
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...It's very important to give the exact argument number to functions as well. To use the calculator in the terminal regardless of current path, add the executable to the path for looking up programs, or simply move the program into a path already set up. Case you're on windows there's already a program by the name calc provided by windows, either uninstal it or change the name of this executable.
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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Simple UI to test the effectiveness of a heuristic algorithm against the brute force method for path finding among an arbitrary number of arbitrarily placed points on a grid. This is an educational project, don't expect new and better methods.
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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TA scheduler based on a genetic algorithm to make the tedious task of scheduling TA's more efficient.
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