Jochen Till
Technical University of Dortmund
12 Papers
70 Citations
Jochen Till is an academic researcher from Technical University of Dortmund. The author has contributed to research in topics: Evolutionary algorithm & Job scheduler. The author has an hindex of 7, co-authored 12 publications.
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Papers
A hybrid evolutionary algorithm for solving two-stage stochastic integer programs in chemical batch scheduling ☆
TL;DR: A new hybrid algorithm is proposed to solve 2-SIPs based on stage decomposition: an evolutionary algorithm performs the search on the first-stage variables while the second-stage subproblems are solved by mixed-integer programming.
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Applied Hybrid System Optimization: An Empirical Investigation of Complexity ?
TL;DR: In this article, the limits of applicability for MILP-based techniques are investigated, and those parts of the problem that contribute most to complexity are isolated, for a well-known approach to optimal control of hybrid systems where the control task is transformed into a mixed-integer programming problem.
71
Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse
TL;DR: An efficient engineered evolutionary algorithm is developed which is shown to cover the feasible set significantly better such that a high quality feasible schedule can be generated comparatively fast.
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Generation of Optimal Control Policies for Systems with Switched Hybrid Dynamics
TL;DR: This contribution presents an approach to synthesize controllers for hybrid dynamic systems such that a given set of formal specifications is satisfied and illustrates the result for a non-trivial processing system example.
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Empirical Complexity Analysis of a MILP-Approach for Optimization of Hybrid Systems
TL;DR: A thorough empirical investigation of the sources of complexity for an approach to optimal control of hybrid systems is described, which transforms the control task into a mixed-integer programming problem that is solved by Branch&Bound techniques.
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