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Due to complexity reasons of realistic scheduling applications, often iterative improvement techniques that perform a kind of local search to improve a given schedule are proposed instead of enumeration techniques that guarantee optimal solutions. In this paper we describe an experimental comparison of four iterative improvement techniques for schedule… (More)
We describe the basic techniques underlying the DÉJÀ VU Scheduling Class Library to achieve a library of reusable and extendible classes for the construction of interactive production scheduling systems. The constructed systems shall be efficient and user centered which means that the user shall have full control over the schedule construction process.… (More)
In this paper we describe an approach to solve a scheduling problem in the steel making industry with a combination of a constraint repair approach and genetic algorithms. Because several, sometimes conflicting objectives exist in the production of steel, we have proposed a representation of constraint violations and their importance by fuzzy sets (Dorn and… (More)
In this paper we describe a transport scheduling system that reacts on unforeseen events. The transport scheduling system is realized with the Class Library DÉJÀ VU, an application framework that supports developers in the construction of intelligent and interactive scheduling systems. DÉJÀ VU is object-oriented written in C++ and is currently being… (More)
 Wolfgang Slany. Fuzzy expert system for maintenance interval prediction. A reusable iterative optimization library to solve combina-torial problems with approximate reasoning.  Jürgen Dorn and Wolfgang Slany. A flow shop with compatibility constraints in a steelmaking plant. A fuzzy logic inference processor library.