OAT Free and open source optimization algorithm toolkit for your Mac
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evaluate develop explore java toolkit develop algorithm evaluate algorithm

OAT Description

Free and open source optimization algorithm toolkit for your Mac OAT is a Java workbench and toolkit for developing, evaluating, and playing with classical and state-of-the-art optimization algorithms on standard benchmark problem domains. OAT includes reference algorithm graphing, visualizations, implementations and much more. Here are some key features of "OAT": · Explore the behaviors of classical and state-of-the-art optimization algorithms. · Experiment with algorithms against benchmark problems using powerful statistical tools. · Play with parameters, graph performance, and learn about computational intelligence. Requirements: · Java What's New in This Release: · Added support in the API and the GUI for automatic algorithm configuration · Fixed inconsistent properties files · Added a massive experimentation API (!!!) · Added simple experiment interface for designing, running, and analyzing experiments · Normality tests Anderson-Darling, Cramer-von-Mises Criterion, Kolmogorov-Smirnov Test · Sample Comparison test One-Way Analysis of Variance (ANOVA), Kruskal-Wallis Test, Student's t-test, Mann-Whitney U Test · Maintain experiments and results off-line on disc · Major reorganization of packages into domains, explorer, and experimenter · Large scale package and class renaming to suit new convention · Added a generic epoch-based (population of solutions) algorithm · Reorganized bit-string algorithms in continuous optimization to binary optimization · Added support for binary optimization algorithms in continuous optimization domain · Restructured the webpage and added support section · Created a launcher as the main entry point for the application with a domain selector and experiment launcher · Added a check list for tasks to complete before a release (mainly testing tasks) · Rewrote the guts of algorithm and problem to use RunProbes and StopConditions API · Updated explorer GUI to reflect API changes for stop conditions and run probes · Changed CFO plots to use a queue of points · Updated the software license from GPL to LGPL · All ACO algorithms support automatic configuration for TSP

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