Open Source Java Algorithms for Mac - Page 4

The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.

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.

It consists of a library of Java classes that gives us support the programming of applications. Boring, repetitive tasks will be included in CommunityUtil. So this is the aim: to provide fast that encapsulates all classes complicated tasks.

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.

Cutting Problem solved by Genetic algorithms. The goal is to cut a rectangular plate of material into more smaller rectangles. The cuts must be rectangular and guillotinable.

DIProxy is integrated some DIContainer. And DIProxy reject relation between WebFramework and DIContainer. added DIProxy is implemented Dynamic injection. see at http://diproxy.wiki.sourceforge.net/

A light-weight group communication system/library of distributed algorithms implementations for agreement problems (e.g., Consensus, Unreliable Leader Election and Atomic Broadcast).

This is an implementation of Donald Knuth's Algorithm X ("dancing links"). This is primarily a sudoku generator and solver, though it can be used to solve other exact cover problems.

Very fast and easy to use Java tool for solving and generating Sudoku puzzles. By using Donald Knuths exact cover algorithmus it can not only solve or create the usual 9x9 but also 4x4, 16x16 or even bigger Sudokus in a very efficient way.

This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.

This project is an extended implementation of Knuth's "Dancing Links" algorithm and some use cases (e.g. Sudoku).

DisChoco is a Distributed Constraint Reasoning Solver. Several Distributed Constraint Reasoning algorithms are implemented (like ABT, AFC, Adopt, ...). Users may easily implement and test their algorithms with DisChoco. contact: wahbi[at]users[dot]sourceforge[dot]net

Free scripts & examples- JSP, Eclipse, SQL, PHP, ASP, Win32 Batch, Javascript, Flash/Actionscript. -=-=-=-=-=-=- NOTE: This project is closed. For new development related to integrating Beyond Compare with Eclipse, see http://beyondcvs.sourceforge.net/

EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors.

EasyCSP is an open-source Java library for Constraint Satisfaction Programming. EasyCSP offers search algorithms for both CSPs and CSOPs. EasyCSP supports CSPs to be formalized using objects or int expressions. EasyCSP on GitHub: http://github.com/cordisvictor/easycsp-lib

The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos

This project is no longer maintained. Instead use my Java util lib: http://sourceforge.net/projects/util-lib/

EvoTrader is a stock picking platform that utilizes genetic programming to evolve rules for generating stock trading signals.

Evokit is an integrated environment for developing evolutionary computation algorithms. It is built around Java and the Eclipse platform, and will support several different libraries including ECJ.

A self-contained, fully configurable Java "game" to simulate multi-species evolution. Design species by optionally specifying every attribute; modify any or all environmental settings; let them loose to eat, fight, procreate, die, and Evolve!

Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.

Don't hard-code data-structures for Artificial Intelligence (AI). Evolve them (and control flow) as cycles of arrays in arrays with size constraints based on other array sizes (at specific index) in terms of range, multiply, exponent, or permutation. No working code yet. Whats there now is an extension of GigaLineCompile which would become part of Human AI Net, but there are other projects to finish before I can come back to this one.

The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue association detection and Protein-Protein interaction identification. This Java implementation implements our ESM algorithm. See README file: https://sourceforge.net/projects/esmalgorithm/files/ If you use our ESM implementation to support academic research, please cite the following paper: Haibin Liu, Vlado Keselj, and Christian Blouin. Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature. Computational Intelligence, 2013.

Flexible job shop scheduling problem (FJSP) is very important in many fields such as production management, resource allocation and combinatorial optimization. In the real manufacturing systems, each operation could be processed on more than one machine and each machine can also process several operations. This feature is known as flexibility. You can define your problem in this software and get an optimal solution as a Gantt Chart. This software is based on my M.Sc. thesis of Shahed university (Tehran, Iran).

FUMOLA is a co-simulation framework specifically designed to support the features offered by the FMI specification. It provides a flexible platform that allows to configure and execute co-simulation setups in an easy way. FUMOLA is developed on top of the Ptolemy II framework (https://ptolemy.eecs.berkeley.edu) and the FMI++ library (http://fmipp.sourceforge.net). The online documentation of FUMOLA is available here: https://sourceforge.net/p/fumola/wiki/Home/