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+~~NOTOC~~
+====== Optimization ======
+===== Current and Former Projects =====
+=== Multiobjective Control based on Averaging Hausdorff Measure ===
+{{http://www.daad.de/static/pics/logo_daad_01.gif?250:nolink|}}
+This project in cooperation with [[http://www.cinvestav.mx/Default.aspx?alias=www.cinvestav.mx/ingles&language=en-US|CINVESTAV-IPN (Mexico City)]] is partially funded by DAAD and CONACYT. We aim at developing methods, based on the so-called averaging Hausdorff measure, that enable multiobjective algorithms to approximate Pareto fronts with evenly spaced points which is needed for a smooth control of systems.
+=== Structure Optimization of Energy Supply Systems ===
+{{ :rudolph:RTEmagicC_Werkteil_Knapsack.jpg?230:nolink|}}
+{{:rudolph:sOptimo-logo.png?150:nolink |}}
+Energy efficiency is a hot topic, because reducing consumption reduces cost
+and pollution at the same time. When not only one plant, but a system of
+plants as found in a whole industrial park is considered, savings potential
+is increased enormously, but so also is the complexity.
+Energy consumption of every single plant is not static
+but depends on factors as environmental temperature, product demand,
+and energy cost structure, but is also influenced by 'soft' factors
+as preference decisions done by humans. On the larger scale (the picture
+on the right shows the chemical park Knapsack near Cologne), the multitude
+of demands has to be served and ideally, implemented solutions shall
+cope well with changing demands (new plants, production change leading
+to energy flow structure changes).
+We employ evolutionary algorithms at different levels of this highly
+complex optimization problem.
+This project was funded by BMWi and coordinated by the
+[[http://www.ltt.rwth-aachen.de/en/research/energy_systems_engineering/energy_system_technique/project/Strukturoptimierung_von_Energiev-4/|Chair of Technical Thermodynamics at the RWTH Aachen]].
+{{ :rudolph:blechwanne.png?230:nolink|}}
+=== Prediction of Forming Processes by Gaussian Process Models ===
+{{:rudolph:logo_zim_screen.jpg?150:nolink |}}
+This project in cooperation with [[http://www.simuform.de/|SimuForm GmbH]] and [[http://www3.fh-swf.de/institute/cv-ci/cvci_en.htm|South Westphalia University of Applied Sciences]] was funded by BMWi. Its goal was to predict the outcomes of forming processes, e.g. the thickness of the sheet metal, with Gaussian Process Models (GPM), also known as Kriging.
+===== Methods/Topics =====
+  * Multi-objective optimization using [[:rudolph:hypervolume:|hypervolume-based]] approaches
+  * Metamodel-assisted optimization, mainly using [[:rudolph:kriging:|Kriging]]
+  * [[rudolph:multimodal:start|Multilocal/multimodal optimization]]
+A large portion of our group's research deals with black-box optimization. We mainly apply [[:rudolph:ea|evolutionary algorithms]] (EA) to these problems. EAs have several desireable properties:
+  * direct search method, no need for gradients
+  * can handle single-objective and multi-objective problems
+  * can cope with noisy and dynamic environments
+  * ideal for parallelization
+===== Conferences =====
+  * [[/people/rudolph/research/conflist.jsp|Conference calendar]]
+  * [[:rudolph:ppsn|Parallel Problem Solving from Nature]]

Chair 11

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Research Groups

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