NDLI: Optimization of feature interactions for automotive combustion engines

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Optimization of feature interactions for automotive combustion engines

Content Provider	ACM Digital Library
Author	Kaindl, Hermann Dübner, Michael Wagner, Dominik Dominka, Sven
Abstract	With increasing numbers of features in automotive systems, feature interaction (FI) becomes more and more relevant regarding safety and emissions. Hence, undesired and potentially even unknown FIs pose a major challenge now to the automotive industry, but optimizing desired FI may even help to further reduce $CO_{2}$ emissions. We propose a new approach for optimization of feature interactions at run-time for automotive combustion engines. It integrates an optimization objective (minimize $CO_{2}$ emission) with both soft and hard constraints (e.g., related to certain temperatures). In the course of iterations of hill-climbing optimization at run-time, the integrating objective function is dynamically adapted for heuristic coordination of FIs. While our approach with its linear time and space complexity does not opt for finding globally optimal solutions, it coordinates feature interactions, both desired and undesired ones. Safety-critical problems are avoided using hard constraints and via release/inhibit conditions for features. Our prototypical implementation of this approach showed promising and realistic results in a simulation environment.
Starting Page	1401
Ending Page	1406
Page Count	6
File Format	PDF
ISBN	9781450337397
DOI	10.1145/2851613.2851775
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-04-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Constraint optimization Feature selection Automotive software Feature interaction
Content Type	Text
Resource Type	Article

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