Customer quotes |
Andrey Torzhkov, Research Scientist at Siemens Corporate Research "It's been a positive experience for Siemens Corporate Research dealing with Ateji and using OptimJ." said Andrey Torzhkov, Research Scientist. "We've succesfully applied OptimJ to improve an existing software application developed in one of our past numerical optimization projects. Now, we're going to deploy OptimJ capabilities for our ongoing Java-based projects to close a gap between optimization engines & modeling applications". Martin Markoff, WWU Munster university "We are pretty enthusiastic about OptimJ because it provides us the opportunity to describe our optimization problem in a mathematical way.
Nevertheless it is very similar to Java programming. This pretty efficient way of formulating optimization problems leads to economy of time compared to the formulation in any specific matrix form. " Médéric Suon, Industrial Engineer at PSA Peugeot Citroën. "Using OptimJ enabled a rapid development and integration of optimization models in Java-based applications. Even better, OptimJ made it easy to use results from different solvers and combine exact methods with metaheuristics coded in Java, for solving complex industrial problems."
Lucas Letocart, Associate professor at University Paris 13 "I use OptimJ for teaching a master and an engineer course. Students become quickly proficient in the language and its IDE, and appreciate the ease of implementation and integration".
Luc Mercier from Brown University"I used OptimJ to implement a model for production planning in a polystyrene factory.", says Luc Mercier from Brown University. "The main program needed to call many times the IP solver, making the use of traditional modeling languages difficult. I would have used ILOG Concert™ Java API if I hadn't encountered OptimJ. What a time saver!"
Luc created Amsaa, an algorithm for online stochastic combinatorial optimization that scales thousands of time better than a multistage stochastic programming approach. He explains why he chose OptimJ: "The code is several times more compact than the Concert equivalent, and definitely clearer. And there is no functionality loss since the underlying API is still available when needed (e.g., to use the solution pool). All in all, you get the expressiveness of OPL™ with the integrability and flexibility of Concert -- the best of both worlds." David Gravot, consulting expert in optimization and founder of Rostudel "With OptimJ, ATEJI now supports all the common features available in algebraic modeling languages", says David Gravot, consulting expert in optimization and founder of Rostudel.
"Integrating optimization projects in a Java environment becomes a breeze using the Eclipse IDE, shortening project development times up to 50%". |
Customer Quotes
We're going to deploy OptimJ capabilities for our ongoing Java-based projects to close a gap between optimization engines and Java applications.
Andrey Torzhkov,
Research Scientist,
Siemens Corporate Research.
With OptimJ you get the expressiveness of OPL™ with the integrability and flexibility of Ilog Concert™ -- the best of both worlds.
Luc Mercier,
Phd student,
Brown University.
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.
Médéric Suon,
Industrial Engineer,
I used OptimJ to implement a model for production planning in a polystyrene factory.
Luc Mercier,
Phd student,
Brown University.
We've succesfully applied OptimJ to improve an existing software application developed in one of our past numerical optimization projects.
Andrey Torzhkov,
Research Scientist,
Siemens Corporate Research.
Using OptimJ enabled a rapid development and integration of optimization models in Java-based applications.
Médéric Suon,
Industrial Engineer,
