Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hartmut Pohlheim"'
Publikováno v:
Trends und Entwicklungstendenzen im Qualitätsmanagement ISBN: 9783658386856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1e139eb1b9ad4f5524366d67460648
https://doi.org/10.1007/978-3-658-38686-3_8
https://doi.org/10.1007/978-3-658-38686-3_8
Publikováno v:
SAE International Journal of Passenger Cars - Electronic and Electrical Systems. 7:166-177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::627e503bf18f14377c0cec61c3a93bd0
https://doi.org/10.4271/2014-01-0306
https://doi.org/10.4271/2014-01-0306
Autor:
Hartmut Pohlheim
Publikováno v:
Artificial Life. 12:203-209
Multidimensional scaling as a technique for the presentation of high-dimensional data with standard visualization techniques is presented. The technique used is often known as Sammon mapping. We explain the mathematical foundations of multidimensiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6950110cea4aa994432639befce5e6d
https://doi.org/10.1162/106454606776073305
https://doi.org/10.1162/106454606776073305
Autor:
Hartmut, Pohlheim
Publikováno v:
Artificial Life. 12:217-227
Evolutionary algorithms (EAs) are widely employed to solve a broad range of optimization problems. Even though they work in an algorithmically simple manner, it is not always easy to understand what is going on during a particular optimization run. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54ceee0b6a63ebd7d818f953a9ff77a7
https://doi.org/10.1162/artl.2006.12.2.217
https://doi.org/10.1162/artl.2006.12.2.217
Autor:
Hartmut Pohlheim
Evolutionäre Algorithmen als Optimierungsverfahren bieten vielfältige Anwendungsmöglichkeiten für ingenieurtechnische Lösungen industrieller Aufgaben. Dieses Buch dient in seiner Aufbereitung als praxisnahes Nachschlagewerk. In anwendungsorienti
Autor:
Hartmut Pohlheim, Adolf Heißner
Publikováno v:
IFAC Proceedings Volumes. 30:113-118
The use of evolutionary algorithms for calculation of the optimal control of the states of a greenhouse system will be presented. The integrated model employed (greenhouse climate, crop growth, outside weather conditions and control equipment) predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60902fc8e794cda180894c17774c04e6
https://doi.org/10.1016/s1474-6670(17)41255-9
https://doi.org/10.1016/s1474-6670(17)41255-9
Autor:
Hartmut Pohlheim
Publikováno v:
auto. 43:127-135
A genetic algorithm with multiple population (MPGA) is described. The operators of the algorithms are discussed in detail. Especially the multiple population concept is explained. A new method for fitness assignment by ranking using a non-linear dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cba6991dfacfbe9971aa22a6a738971
https://doi.org/10.1524/auto.1995.43.3.127
https://doi.org/10.1524/auto.1995.43.3.127
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642336775
SAFECOMP
SAFECOMP
Model-based development has become a standard software development approach in the automotive field. Evidence for this is provided by its incorporation in the ISO 26262 safety and process standard. This standard proposes different measures and method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce861ad5cceadb92be2ac82d39884eb8
https://doi.org/10.1007/978-3-642-33678-2_22
https://doi.org/10.1007/978-3-642-33678-2_22
Publikováno v:
SAE Technical Paper Series.
Whereas the verification of non-safety-related, embedded software typically focuses on demonstrating that the implementation fulfills its functional requirements, this is not sufficient for safety-relevant systems. In this case, the control software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65ce84e9c1585bff496a74f12622b21
https://doi.org/10.4271/2005-01-0750
https://doi.org/10.4271/2005-01-0750
Publikováno v:
Genetic and Evolutionary Computation — GECCO 2003 ISBN: 9783540406037
GECCO
GECCO
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focuses on searching for a high coverage of the test object by generating separate inputs for single function calls. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae4e2ed5a6ce0f94abb7fc507d22c0af
https://doi.org/10.1007/3-540-45110-2_147
https://doi.org/10.1007/3-540-45110-2_147