Download JAR files tagged by schedules with all dependencies

This bundle provides a Service Listener which listens for Runnable Services and schedules their execution, based on the service properties

This application will create a dashboard for schedules in your java application . From the schedule dashboard you can monitor your schedule and also you can run a particular schedule before its next run time.

Java library for parsing schools' substitution schedules. Supports multiple different systems mainly used in the German-speaking countries.

Naginator is a plugin for Hudson that schedules a new build immediately following a build failure, thereby nagging the project members that the build is failing.

This plugin provides support for <a href ="http://backlogtool.com/?lang=1">backlog</a>. <h2>Features</h2> <ul> <li>Add an issue</li> <li>Update an issue</li> <li>Create queries</li> <li>Find issues</li> <li>Schedules</li> </ul> <h2>Resources</h2> <ul> <li><a href="https://github.com/junichi11/netbeans-backlog-plugin">https://github.com/junichi11/netbeans-backlog-plugin</a></li> <li><a href="https://github.com/nulab/backlog4j">Backlog4j</a></li> </ul>

WicketStuff CalendarViews aims to provide several Wicket components that make it easy to incorporate a calendar into your application. These calendars can be used to display events and schedules. NOTE: these are not kin to the datepicker style components for use in forms - these are for displaying calendars of data, not receiving date input.

A Java implementation of the Schedules Direct JSON service. The Schedules Direct JSON service provides EPG data for various countries in a JSON format. This project consumes that data and provides access to it through native Java data structures, which allows easy integration of this service into your Java applications.

WicketStuff CalendarViews aims to provide several Wicket components that make it easy to incorporate a calendar into your application. These calendars can be used to display events and schedules. NOTE: these are not kin to the datepicker style components for use in forms - these are for displaying calendars of data, not receiving date input.

App Configuration for flexible Scheduleviewer: Its manipulates the ScheduleViewerBasis-Example App in different Configurations: * show/hide/disable some Options * renaming the ScheduleSelector-Items (longname. shortname, Path) * Select/Deselect all ScheduleSelector Items * preselection of some Programm/Selectors/ Filterselectors / Schedules * Export as JSON and/or CSV * Save the SessionSelection in a JSON-String Resource

Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. The library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling. Chips-n-Salsa now also includes genetic algorithms as well as evolutionary algorithms more generally. The library very extensively supports simulated annealing. It includes several classes for representing solutions to a variety of optimization problems. For example, the library includes a BitVector class that implements vectors of bits, as well as classes for representing solutions to problems where we are searching for an optimal vector of integers or reals. For each of the built-in representations, the library provides the most common mutation operators for generating random neighbors of candidate solutions, as well as common crossover operators for use with evolutionary algorithms. Additionally, the library provides extensive support for permutation optimization problems, including implementations of many different mutation operators for permutations, and utilizing the efficiently implemented Permutation class of the JavaPermutationTools (JPT) library. Chips-n-Salsa is customizable, making extensive use of Java's generic types, enabling using the library to optimize other types of representations beyond what is provided in the library. It is hybridizable, providing support for integrating multiple forms of local search (e.g., using a hill climber on a solution generated by simulated annealing), creating hybrid mutation operators (e.g., local search using multiple mutation operators), as well as support for running more than one type of search for the same problem concurrently using multiple threads as a form of algorithm portfolio. Chips-n-Salsa is iterative, with support for multistart metaheuristics, including implementations of several restart schedules for varying the run lengths across the restarts. It also supports parallel execution of multiple instances of the same, or different, stochastic local search algorithms for an instance of a problem to accelerate the search process. The library supports self-adaptive search in a variety of ways, such as including implementations of adaptive annealing schedules for simulated annealing, such as the Modified Lam schedule, implementations of the simpler annealing schedules but which self-tune the initial temperature and other parameters, and restart schedules that adapt to run length.