JaCoP 4.2.0

A free and open source Java library which provides its users with Constraint Programming technology and can facilitate modeling, as well as modular design

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What's new in JaCoP 4.2.0:

  • This release contains several new features and improvements. First, this version is compatible with newly released minizinc 2.0. Please, use the new JaCoP minizinc library from directory src/main/minizinc/org/jacop/minizinc/ when compiling minizinc files. It offers newly introduced, in minizinc, global constraints knapsack, network_flow and geost. We have also developed a flatzinc loader that makes it possible to load flatzinc models and then use the created model in Java.
  • The new search method, SGMPCS search, has been added to the solver . It is based on the original work by J. C. Beck and presented in the paper entitled "Solution-Guided Multi-Point Constructive Search for Job Shop Scheduling".
  • Directory org.jacop.examples.flatzinc contains examples of applications for flatzinc loader, SGMPCS search and minimization method for floating point problems.
  • This release fixes also few bugs and makes improvements in several parts of the solver.
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LICENSE TYPE:
GPL 
FILE SIZE:
1.8 MB
USER RATING:
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DEVELOPED BY:
JaCoP
CATEGORY:
Home \ Development \ Libraries
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JaCoP
JaCoP provides a significant number of constraints to facilitate modeling as well as modular design of search to facilitate tailoring of search to characteristics of the problem being addressed.

JaCoP currently contains more than 90.000 lines of code, not including examples and testing code. There are more than 20.000 lines of code explaining how to model and solve diverse problems.

JaCoP has been under active development for the past 8 years and it has been refactored, transformed, improved many times. Initial versions of JaCoP were most likely even 3 orders of magnitude slower than the current version.

Last updated on December 31st, 2014

Runs on: Mac OS X (-)

requirements

#Java constraint solver #solve Java constraint #Java development #Java constraint #solve #solver #develop

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