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We're going to deploy OptimJ capabilities for our ongoing Java-based projects to close a gap between optimization engines and Java applications.
With OptimJ you get the expressiveness of OPL™ with the integrability and flexibility of Ilog Concert™ -- the best of both worlds.
Integrating optimization projects in a Java environment becomes a breeze using the Eclipse IDE, shortening project development times up to 50%.
OptimJ made it easy to use results from different solvers and combine exact methods with metaheuristics coded in Java, for solving complex industrial problems.
I used OptimJ to implement a model for production planning in a polystyrene factory.
We've succesfully applied OptimJ to improve an existing software application developed in one of our past numerical optimization projects.
Using OptimJ enabled a rapid development and integration of optimization models in Java-based applications.