JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included.

Legal notice/Impressum:
Klaus Meffert
An der Struth 25
D-65510 Idstein
sourceforge <at> klausmeffert.de

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2), Mozilla Public License 1.1 (MPL 1.1)

Follow JGAP

JGAP Web Site

You Might Also Like
Find out just how much your login box can do for your customer | Auth0 Icon
Find out just how much your login box can do for your customer | Auth0

With over 53 social login options, you can fast-track the signup and login experience for users.

From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
4
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

User Reviews

  • Long-term project with >1400 unit tests and an everlasting history
  • nice project, helped me a lot. still some work to do (no parallel processing, no generics). but a great start. thanks!
  • excellent application.
  • Fantastic Framework!
Read more reviews >

Additional Project Details

Operating Systems

Linux, BSD, Windows

Languages

English

Intended Audience

Information Technology, Financial and Insurance Industry, Science/Research, Advanced End Users, Developers, Other Audience

User Interface

Console/Terminal, Command-line

Programming Language

Java

Related Categories

Java Genetic Algorithms, Java Simulation Software, Java Bio-Informatics Software, Java Artificial Intelligence Software, Java Information Analysis Software

Registered

2000-09-19