FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316467092> ?p ?o ?g. }

• W4316467092 endingPage "465" @default.
• W4316467092 startingPage "465" @default.
• W4316467092 abstract "Model predictive control (MPC) is a promising approach to the lateral and longitudinal control of autonomous vehicles. However, the parameterization of the MPC with respect to high-level requirements such as passenger comfort, as well as lateral and longitudinal tracking, is challenging. Numerous tuning parameters and conflicting requirements need to be considered. In this paper, we formulate the MPC tuning task as a multi-objective optimization problem. Its solution is demanding for two reasons: First, MPC-parameterizations are evaluated in a computationally expensive simulation environment. As a result, the optimization algorithm needs to be as sample-efficient as possible. Second, for some poor parameterizations, the simulation cannot be completed; therefore, useful objective function values are not available (for instance, learning with crash constraints). In this work, we compare the sample efficiency of multi-objective particle swarm optimization (MOPSO), a genetic algorithm (NSGA-II), and multiple versions of Bayesian optimization (BO). We extend BO by introducing an adaptive batch size to limit the computational overhead. In addition, we devise a method to deal with crash constraints. The results show that BO works best for a small budget, NSGA-II is best for medium budgets, and none of the evaluated optimizers are superior to random search for large budgets. Both proposed BO extensions are, therefore, shown to be beneficial." @default.
• W4316467092 created "2023-01-16" @default.
• W4316467092 creator A5002736625 @default.
• W4316467092 creator A5034594657 @default.
• W4316467092 creator A5049922948 @default.
• W4316467092 creator A5073916569 @default.
• W4316467092 creator A5088790462 @default.
• W4316467092 date "2023-01-15" @default.
• W4316467092 modified "2023-10-18" @default.
• W4316467092 title "What Is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?" @default.
• W4316467092 cites W1525133041 @default.
• W4316467092 cites W2040161377 @default.
• W4316467092 cites W2102242856 @default.
• W4316467092 cites W2121121641 @default.
• W4316467092 cites W2126105956 @default.
• W4316467092 cites W2165171393 @default.
• W4316467092 cites W2192203593 @default.
• W4316467092 cites W2207649084 @default.
• W4316467092 cites W2401247734 @default.
• W4316467092 cites W2487966920 @default.
• W4316467092 cites W2561397319 @default.
• W4316467092 cites W2605772866 @default.
• W4316467092 cites W2606395562 @default.
• W4316467092 cites W2609215372 @default.
• W4316467092 cites W2788545772 @default.
• W4316467092 cites W2995374015 @default.
• W4316467092 cites W3087415567 @default.
• W4316467092 cites W3127916076 @default.
• W4316467092 cites W3153470749 @default.
• W4316467092 cites W3183976931 @default.
• W4316467092 cites W3203926084 @default.
• W4316467092 cites W3207890558 @default.
• W4316467092 cites W4211049957 @default.
• W4316467092 cites W4213447177 @default.
• W4316467092 cites W4252199061 @default.
• W4316467092 cites W4285446140 @default.
• W4316467092 cites W4292070548 @default.
• W4316467092 cites W4293417218 @default.
• W4316467092 doi "https://doi.org/10.3390/math11020465" @default.
• W4316467092 hasPublicationYear "2023" @default.
• W4316467092 type Work @default.
• W4316467092 citedByCount "1" @default.
• W4316467092 countsByYear W43164670922023 @default.
• W4316467092 crossrefType "journal-article" @default.
• W4316467092 hasAuthorship W4316467092A5002736625 @default.
• W4316467092 hasAuthorship W4316467092A5034594657 @default.
• W4316467092 hasAuthorship W4316467092A5049922948 @default.
• W4316467092 hasAuthorship W4316467092A5073916569 @default.
• W4316467092 hasAuthorship W4316467092A5088790462 @default.
• W4316467092 hasBestOaLocation W43164670921 @default.
• W4316467092 hasConcept C111919701 @default.
• W4316467092 hasConcept C11413529 @default.
• W4316467092 hasConcept C126255220 @default.
• W4316467092 hasConcept C127413603 @default.
• W4316467092 hasConcept C134306372 @default.
• W4316467092 hasConcept C14036430 @default.
• W4316467092 hasConcept C151201525 @default.
• W4316467092 hasConcept C154945302 @default.
• W4316467092 hasConcept C172205157 @default.
• W4316467092 hasConcept C183469790 @default.
• W4316467092 hasConcept C185592680 @default.
• W4316467092 hasConcept C198531522 @default.
• W4316467092 hasConcept C199360897 @default.
• W4316467092 hasConcept C201995342 @default.
• W4316467092 hasConcept C2775924081 @default.
• W4316467092 hasConcept C2778049539 @default.
• W4316467092 hasConcept C2779960059 @default.
• W4316467092 hasConcept C2780451532 @default.
• W4316467092 hasConcept C33923547 @default.
• W4316467092 hasConcept C41008148 @default.
• W4316467092 hasConcept C43617362 @default.
• W4316467092 hasConcept C78458016 @default.
• W4316467092 hasConcept C85617194 @default.
• W4316467092 hasConcept C86803240 @default.
• W4316467092 hasConcept C8880873 @default.
• W4316467092 hasConceptScore W4316467092C111919701 @default.
• W4316467092 hasConceptScore W4316467092C11413529 @default.
• W4316467092 hasConceptScore W4316467092C126255220 @default.
• W4316467092 hasConceptScore W4316467092C127413603 @default.
• W4316467092 hasConceptScore W4316467092C134306372 @default.
• W4316467092 hasConceptScore W4316467092C14036430 @default.
• W4316467092 hasConceptScore W4316467092C151201525 @default.
• W4316467092 hasConceptScore W4316467092C154945302 @default.
• W4316467092 hasConceptScore W4316467092C172205157 @default.
• W4316467092 hasConceptScore W4316467092C183469790 @default.
• W4316467092 hasConceptScore W4316467092C185592680 @default.
• W4316467092 hasConceptScore W4316467092C198531522 @default.
• W4316467092 hasConceptScore W4316467092C199360897 @default.
• W4316467092 hasConceptScore W4316467092C201995342 @default.
• W4316467092 hasConceptScore W4316467092C2775924081 @default.
• W4316467092 hasConceptScore W4316467092C2778049539 @default.
• W4316467092 hasConceptScore W4316467092C2779960059 @default.
• W4316467092 hasConceptScore W4316467092C2780451532 @default.
• W4316467092 hasConceptScore W4316467092C33923547 @default.
• W4316467092 hasConceptScore W4316467092C41008148 @default.
• W4316467092 hasConceptScore W4316467092C43617362 @default.
• W4316467092 hasConceptScore W4316467092C78458016 @default.
• W4316467092 hasConceptScore W4316467092C85617194 @default.

• next