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UAS mission path planning system (MPPS) using hybrid-game coupled to multi-objective optimizer / DongSeop Lee in Transactions of the ASME . Journal of dynamic systems, measurement, and control, Vol. 132 N° 4 (Juillet 2010) 

Public ISBD [article]  in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 4 (Juillet 2010) . - 11 p. Titre : UAS mission path planning system (MPPS) using hybrid-game coupled to multi-objective optimizer Type de document : texte imprimé Auteurs : DongSeop Lee, Auteur ; Jacques Periaux, Auteur ; Luis Felipe Gonzalez, Auteur Année de publication : 2010 Article en page(s) : 11 p. Note générale : Systèmes dynamiques Langues : Anglais (eng) Mots-clés : Aircraft  control  Game  theory  Genetic  algorithms  Path  planning  Remotely  operated  vehicles  Splines  (mathematics) Index. décimale : 629.8 Résumé : This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013 [...] [article] UAS mission path planning system (MPPS) using hybrid-game coupled to multi-objective optimizer [texte imprimé] / DongSeop Lee, Auteur ; Jacques Periaux, Auteur ; Luis Felipe Gonzalez, Auteur . - 2010 . - 11 p. Systèmes dynamiques Langues : Anglais (eng) in Transactions of the ASME . Journal of dynamic systems, measurement, and control > Vol. 132 N° 4 (Juillet 2010) . - 11 p. Mots-clés : Aircraft  control  Game  theory  Genetic  algorithms  Path  planning  Remotely  operated  vehicles  Splines  (mathematics) Index. décimale : 629.8 Résumé : This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS. DEWEY : 629.8 ISSN : 0022-0434 En ligne : http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA00013 [...]