0000000000598707

AUTHOR

Michael Emmerich

showing 3 related works from this author

Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …

optimization problemsMathematical optimizationComputer scienceStrategy and Managementmedia_common.quotation_subjectConstraint (computer-aided design)0211 other engineering and technologiesmultiple criteria decision makingGeneral Decision Sciences02 engineering and technologyMulti-objective optimizationOutcome (game theory)evolutionary multicriteria optimizationEngineering optimizationmulticriteria optimization0202 electrical engineering electronic engineering information engineeringPoint (geometry)Business caseFunction (engineering)media_commonta113Computational model021103 operations researchmetamodelsexpensive optimization problemssurrogatesexpensesmachine learning020201 artificial intelligence & image processing
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Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations

2022

AbstractWe introduce novel concepts to solve multiobjective optimization problems involving (computationally) expensive function evaluations and propose a new interactive method called O-NAUTILUS. It combines ideas of trade-off free search and navigation (where a decision maker sees changes in objective function values in real time) and extends the NAUTILUS Navigator method to surrogate-assisted optimization. Importantly, it utilizes uncertainty quantification from surrogate models like Kriging or properties like Lipschitz continuity to approximate a so-called optimistic Pareto optimal set. This enables the decision maker to search in unexplored parts of the Pareto optimal set and requires …

Control and Optimizationdecision makersApplied Mathematicspäätöksentekopreference informationManagement Science and Operations Researchinteractive methodsmonitavoiteoptimointiComputer Science ApplicationsoptimointiBusiness Management and Accounting (miscellaneous)multiobjective optimization problemskrigingmallit (mallintaminen)kriging-menetelmäcomputational cost
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Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity

2023

The role of increased timber harvests in reaching climate mitigation targets for European countries will be limited if the protection of forest ecosystem services and biodiversity is to be achieved, suggests an empirical forest model driven by future scenarios to limit warming to 1.5 degrees C in 2100.The European Union (EU) set clear climate change mitigation targets to reach climate neutrality, accounting for forests and their woody biomass resources. We investigated the consequences of increased harvest demands resulting from EU climate targets. We analysed the impacts on national policy objectives for forest ecosystem services and biodiversity through empirical forest simulation and mul…

metsätalousClimate ResearchekosysteemipalvelutForest ScienceforestryGeneral Earth and Planetary Sciencesecosystem servicesympäristövaikutusten arviointienvironmental impactGeneral Environmental ScienceCommunications Earth & Environment
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