Verwandte Artikel zu Optimization of Heterogeneous UAV Communications Using...
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem - Softcover
Inhaltsangabe
The Air Force has placed a high priority on developing new and innovative ways to use Unmanned Aerial Vehicles (UAVs). The Defense Advanced Research Projects Agency (DARPA) currently funds many projects that deal with the advancement of UAV research. The ultimate goal of the Air Force is to use UAVs in operations that are highly dangerous to pilots, mainly the suppression of enemy air defenses (SEAD). With this goal in mind, formation structuring of autonomous or semiautonomous UAVs is of future importance. This particular research investigates the optimization of heterogeneous UAV multichannel communications in formation. The problem maps to the multiob jective Quadratic Assignment Problem (mQAP). Optimization of this problem is done through the use of a Multiob jective Evolutionary Algorithm (MOEA) called the Multiob jective Messy Genetic Algorithm II (MOMGAII). Experimentation validates the attainment of an acceptable Pareto Front for a variety of mQAP benchmarks. It was observed that building block size can affect the location vectors along the current Pareto Front. The competitive templates used during testing perform best when they are randomized before each building block size evaluation. This tuning of the MOMGAII parameters creates a more effective algorithm for the variety of mQAP benchmarks, when compared to the initial experiments. Thus this algorithmic approach would be useful for Air Force decision makers in determining the placement of UAVs in formations.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
The Air Force has placed a high priority on developing new and innovative ways to use Unmanned Aerial Vehicles (UAVs). The Defense Advanced Research Projects Agency (DARPA) currently funds many projects that deal with the advancement of UAV research. The ultimate goal of the Air Force is to use UAVs in operations that are highly dangerous to pilots, mainly the suppression of enemy air defenses (SEAD). With this goal in mind, formation structuring of autonomous or semiautonomous UAVs is of future importance. This particular research investigates the optimization of heterogeneous UAV multichannel communications in formation. The problem maps to the multiob jective Quadratic Assignment Problem (mQAP). Optimization of this problem is done through the use of a Multiob jective Evolutionary Algorithm (MOEA) called the Multiob jective Messy Genetic Algorithm II (MOMGAII). Experimentation validates the attainment of an acceptable Pareto Front for a variety of mQAP benchmarks. It was observed that building block size can affect the location vectors along the current Pareto Front. The competitive templates used during testing perform best when they are randomized before each building block size evaluation. This tuning of the MOMGAII parameters creates a more effective algorithm for the variety of mQAP benchmarks, when compared to the initial experiments. Thus this algorithmic approach would be useful for Air Force decision makers in determining the placement of UAVs in formations.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagBiblioScholar
- Erscheinungsdatum2012
- ISBN 10 1288409362
- ISBN 13 9781288409365
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten196
- Kontakt zum HerstellerNicht verfügbar
EUR 102,82
EUR 29,36 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 59,52
EUR 0,62 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Optimization of Heterogeneous UAV Communications Using...
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781288409365
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781288409365
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781288409365_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. KlappentextrnrnThe Air Force has placed a high priority on developing new and innovative ways to use Unmanned Aerial Vehicles (UAVs). The Defense Advanced Research Projects Agency (DARPA) currently funds many projects that deal with the advancem. Bestandsnummer des Verkäufers 6561740
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9781288409365
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous Uav Communications Using the Multiobjective Quadratic Assignment Problem
Print-on-DemandAnbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 388. Bestandsnummer des Verkäufers C9781288409365
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Print-on-DemandAnbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND pp. 196. Bestandsnummer des Verkäufers 18390601680
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 196. Bestandsnummer des Verkäufers 26390601690
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand pp. 196. Bestandsnummer des Verkäufers 390046725
Anzahl: 4 verfügbar
Foto des Verkäufers
Optimization of Heterogeneous UAV Communications Using the Multiobjective Quadratic Assignment Problem
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - The Air Force has placed a high priority on developing new and innovative ways to use Unmanned Aerial Vehicles (UAVs). The Defense Advanced Research Projects Agency (DARPA) currently funds many projects that deal with the advancement of UAV research. The ultimate goal of the Air Force is to use UAVs in operations that are highly dangerous to pilots, mainly the suppression of enemy air defenses (SEAD). With this goal in mind, formation structuring of autonomous or semiautonomous UAVs is of future importance. This particular research investigates the optimization of heterogeneous UAV multichannel communications in formation. The problem maps to the multiob jective Quadratic Assignment Problem (mQAP). Optimization of this problem is done through the use of a Multiob jective Evolutionary Algorithm (MOEA) called the Multiob jective Messy Genetic Algorithm II (MOMGAII). Experimentation validates the attainment of an acceptable Pareto Front for a variety of mQAP benchmarks. It was observed that building block size can affect the location vectors along the current Pareto Front. The competitive templates used during testing perform best when they are randomized before each building block size evaluation. This tuning of the MOMGAII parameters creates a more effective algorithm for the variety of mQAP benchmarks, when compared to the initial experiments. Thus this algorithmic approach would be useful for Air Force decision makers in determining the placement of UAVs in formations. Bestandsnummer des Verkäufers 9781288409365
Anzahl: 2 verfügbar