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OscaR-Lib

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  Analyzed about 20 hours ago

OscaR stands for "Scala in OR (Operations Research)". It is a set of tools implemented in Scala to solve Optimization and Operations Research problems. Currently the content of OscaR is: - cp: a package to solve constraint programming problems - cbls: a package to solve problems with ... [More] constraint based local search - linprog: a package to write LP/MIP models with interfaces to glpk, lp_solve, gurobi and cplex - dfo: a package to solve derivative free optimization problems - des: a package to model discrete event simulation problems - visu: a package to build quickly visualizations for your optimization problem [Less]

207K lines of code

0 current contributors

8 months since last commit

5 users on Open Hub

Very Low Activity
5.0
 
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OptaPlanner

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  Analyzed 1 day ago

OptaPlanner optimizes business resource usage. Every organization faces planning problems: provide products or services with a limited set of constrained resources (employees, assets, time and money). OptaPlanner optimizes such planning to do more business with less resources. OptaPlanner is a ... [More] lightweight, embeddable planning engine written in Java™. It helps normal Java™ programmers solve constraint satisfaction problems efficiently. Under the hood, it combines optimization heuristics and metaheuristics with very efficient score calculation. OptaPlanner is open source software, released under the Apache Software License. It is 100% pure Java™, runs on any JVM and is available in the Maven Central Repository too. [Less]

623K lines of code

37 current contributors

13 days since last commit

4 users on Open Hub

Moderate Activity
5.0
 
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MOEA Framework

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  Analyzed about 7 hours ago

The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. ... [More] In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

77.7K lines of code

1 current contributors

2 days since last commit

1 users on Open Hub

High Activity
5.0
 
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ampl

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  Analyzed about 18 hours ago

AMPL solvers, table handlers and examples.

34.3K lines of code

2 current contributors

over 1 year since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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Google Optimization Tools

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  Analyzed about 13 hours ago

Google's Operations Research tools

7.1M lines of code

20 current contributors

almost 2 years since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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