Dornberger, Rolf
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Dornberger, Rolf
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- PublikationGenetic algorithm with embedded Ikeda map applied on an order picking problem in a multi-aisle warehouse(09.12.2014) Stauffer, Michael; Ryter, Remo; Davendra, Donald; Dornberger, Rolf; Hanne, Thomas04B - Beitrag Konferenzschrift
- PublikationIndex Tracking with Invasive Weed Optimization(27.09.2014) Affolter, Konstantin; Dornberger, Rolf; Hanne, Thomas; Schweizer, Daniel06 - Präsentation
- PublikationOptimization of the Picking Sequence of an Automated Storage and Retrieval System (AS/RS)(11.07.2014) Dornberger, Rolf; Hanne, Thomas; Ryter, Remo; Stauffer, Michael06 - Präsentation
- PublikationProblem-Based Learning in Teaching Information Systems - Experiences in Teaching Computational Intelligence(07.03.2014) Dornberger, Rolf; Hanne, Thomas06 - Präsentation
- PublikationAn Approach of Solving Itinerary Construction Problems Using Real Life Data(19.04.2013) Kückens, Marvin; Dornberger, Rolf; Hanne, Thomas04B - Beitrag Konferenzschrift
- PublikationSolving Optimization Problems by Metaheuristics Using the OpenOpal-Framework - Integration of Travelling Salesman Problem and Selected Solvers. Arbeitsberichte der Hochschule für Wirtschaft FHNW(01.02.2012) Dornberger, Rolf; Ernst, Ramona; Frey, Lukas; Hanne, Thomas05 - Forschungs- oder Arbeitsbericht
- PublikationHow Advanced are Advanced Planning Systems? An Empirical Investigation on the Usage of Advanced Methods in APS. Arbeitsberichte der Hochschule für Wirtschaft FHNW(01.04.2011) Akabuilo, Edwin; Dornberger, Rolf; Hanne, Thomas05 - Forschungs- oder Arbeitsbericht
- PublikationE-Learning and Learning-by-Doing Teaching in Information Systems - Changing the style of teaching in the Information Systems Program(27.03.2011) Dornberger, Rolf; Hanne, Thomas04B - Beitrag Konferenzschrift
- PublikationThe Way to an Open-Source Software for Automated Optimization and Learning - Open Opal(27.09.2010) Dornberger, Rolf; Hanne, Thomas; Frey, Lukas [in: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010]An optimization framework combines various methods, strategies, and programming interfaces on a robust software platform. Its development requires knowledge from application areas, and about optimization methods, as well as from software engineering. Different persons provide diverse know-how about modeling and simulating engineering and/or business problems, about search and optimization methods, and about new software trends to implement them into software. This paper describes the approach how an optimization framework based on evolutionary algorithms and other methods is developed in subsequent projects with application engineers and software developers cooperatively working together guaranteeing a sophisticated knowledge transfer. Therefore, particular knowledge management aspects are emphasized. As result, the optimization platform OpenOpal and the ideas behind its software architecture, supporting the know-how transfer, are presented. In order to continuously improve this optimization framework it is transferred into an open-source software initiative. The objective is to broaden the user group by increasing the number of knowledge contributors both from academia - integrating and testing newly developed optimization methods - and from various engineering areas - providing real-world problems to be solved.04B - Beitrag Konferenzschrift
- PublikationOptimizing staff rosters for emergency shifts for doctors(IEEE, 28.06.2009) Frey, Lukas; Hanne, Thomas; Dornberger, RolfThe creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (e.g. holydays and workload) have to be taken into account. These restrictions have been mathematically specified for a concrete case in order to solve the problem afterwards with a straightforward genetic algorithm. Thereby the main focus lays on two different mutation methods and the combination of them. The results of this procedure will be discussed in this work.04B - Beitrag Konferenzschrift