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Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
Autofetch automates adding association prefetches to object queries. Prefetch is an optimization to reduce the number of round-trips to an object store. Autofetch is designed to integrate with different object persistence technologies such as Hibernate.
An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.
OAP Lite is Optimized Algorithms Platform Lite, which simplifies the process of solving some optimization problems by Genetic Algorithms. It is a highly configurable, efficient tool for user to get the optimum result without programming.
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MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
The JAnalyzer Toolkit implements a visualisation tool for static analysis on Java applications. The analysis is based on the SOOT bytecode optimization package. So the program is capable of analysing sourcecode as well as bytecode packages.
The Parameter Tuning Unity (PTU) aims to adapt the parameters of ever connected multi-agents system, or expert system with a plugged optimization heuristic likes the descent of gradient for instance.
Just4Log is basically a library to enhance dynamically the performance
of apache commons Logging inside a java application. Dynamically because
the sourcecode in java is not modified but rather the optimization occurs on
the compiled ByteCode files.
<img src=http://www.ifrance.com/divisionX/JOE-LOGO.BMP align=left><div><b>JOE</b> -<i>Java Optimization Engine</i>- provides an easy way to optimize programmatically Java applications. <b>JOE</b> is an Ant optional task (like XDoclet or JavaCC).</div><br
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This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.
This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.