Search Results for "combinatorial"

JaCoP is a Java Constraint Programming solver. It provides a significant number of (global) constraints to facilitate efficient modeling of combinatorial problems, as well as modular design of search. Documentation is available at project Web site. Please, note that the sources from version 4.0 are only available at GitHub.

JConstraints is a Java Framework that enables implementations of advanced solutions for combinatorial problems as constraints satisfaction problems. The architecture was built thinking in the constraints satisfaction paradigm. The Framework is easy to use. Therefore, with few interfaces implementations you can already run advanced combinatory solutions. Just to name a few algorithms, the Framework can solve any constraints problems using: - Regular Backtracking; - A variety of Backjumping algorithms; - A variety of arc-consistency algorithms; - Local search algorithm; - Tabu search algorithm; - Maximize solutions: comming soon; - Minimize solutions: comming soon; The Framework also enables heuristic injections so that the developers can achieve greater performance of algorithms using their own heuristics. ...

Java Combinatorial Optimization Platform is used to solve combinatorial problems using common interface, providing means to easily add new algorithms and problems and to benchmark them.

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).