Advanced modeling of control and optimization in management science often leads to a computational complexity which cannot be handled by traditional algorithms and computer systems. On this background the paper develops a general approach to combine the power of distribution and parallelism in...

Advanced modeling of control and optimization in management science applications often leads to a computational complexity which cannot be handled by traditional algorithms and computer systems. Since the late 60's this fact (mathematically going by the term of NP-completeness) has been known...

In dieser Arbeit wurde eine neue Form der Repräsentation von Maschinenbelegungsproblemen für Genetische Algorithmen vorgestellt. Sie behandelt die Maschinenbelegungsplanung in natürlicher Weise durch Reihenfolgenbildung von ausführenden Arbeitsgängen und umgeht dabei dennoch die...

The population of parallel genetic algorithms (PGAs) can easily be split up to match the needs of a coarse grained parallelism. A cluster of interconnected workstations, seen as an MIMD-architecture, is the chosen hardware to express this kind of parallelism. A PGA implementation, as any other...