This is the Windows app named Opt4J to run in Windows online over Linux online whose latest release can be downloaded as opt4j-3.1.4.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Opt4J to run in Windows online over Linux online with OnWorks for free.
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- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
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Opt4J to run in Windows online over Linux online
DESCRIPTION
Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem.The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary meta-heuristic optimization algorithms. For this purpose, Opt4J relies on a module-based implementation and offers a graphical user interface for the configuration as well as a visualization of the optimization process.
(visit: http://www.opt4j.org)
Features
- Detailed javadoc API and existing tutorial (www.opt4j.org)
- Simple Graphical User Interface (GUI) for configuration
- Graphical viewer for optimization run with standard widgets (plot, archive, popluation)
- Different predefined genotypes including hierarchical genotype (CompositeGentoype)
- Includes different optimization techniques: Evolutionary Algorithm (Spea2,Nsga2,SMS), Multi-objective Particle Swarm Optimization, Differential Evolution, Simulation Annealing
- Includes common benchmark problems: ZDT, DTLZ, WFG, LOTZ, Knapsack
Audience
Science/Research, Education, Developers
User interface
Java Swing, Command-line
Programming Language
Java
This is an application that can also be fetched from https://sourceforge.net/projects/opt4j/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
