Description
Patricia Shiroma explores the possibility of combining genetic algorithms with simulation studies in order to generate efficient production schedules for parallel manufacturing processes. The result is a flexible, highly effective production scheduling system. Dr. Patricia Jay Shiroma ist seit Dezember 1992 als Assistentin am Lehrstuhl von Prof. G. Niemeyer an der Universitt Regensburg im Bereich Wirtschaftsinformatik ttig. Introduction – The Nature of Evolutionary Programming – Theoretical Foundations of Genetic Algorithms – Methodology – Feasibilitiy Study: A Hybrid Genetic Algorithm Embedded in AMTOS – Case Study: Implementation of a Hybrid Genetic Algorith fr Production Planning in a Large Pharmaceutical Company – Summary and Plans for Future Research
