Decidability Results for Multi-objective Stochastic Games Romain Brenguier and Vojtˇech Forejt Department of Computer Science, University of Oxford, UK Abstract. We study stochastic two-player turn-based games in which

First Page		Document Content
Date: 2016-07-05 18:17:09 Mathematical analysis Mathematical optimization Operations research Stochastic game Nash equilibrium Markov chain Determinacy Stochastic process Mathematics Analysis Multi-objective optimization		Decidability Results for Multi-objective Stochastic Games Romain Brenguier and Vojtˇech Forejt Department of Computer Science, University of Oxford, UK Abstract. We study stochastic two-player turn-based games in which Add to Reading List Source URL: qav.comlab.ox.ac.uk Download Document from Source Website File Size: 522,77 KB Share Document on Facebook

	Mutation Operators based on Variable Grouping for Multi-objective Large-scale Optimization Heiner Zille∗ , Hisao Ishibuchi† , Sanaz Mostaghim∗ and Yusuke Nojima† ∗ Institute for Intelligent Cooperating Systems DocID: 1vjp4 - View Document
	International Journal of Industrial Electronics and Electrical Engineering, ISSN(p): , ISSN(e): 2349-204X Volume-6, Issue-3, Mar.-2018, http://ijieee.org.in MULTI-OBJECTIVE OPTIMIZATION OF DEMAND SIDE MANAGEMENT DocID: 1v5n0 - View Document
	Lattice Optimization Using Multi-Objective Genetic Algorithm Vadim Sajaev, Michael Borland Mini-workshop on ICA in Beam Measurements and Genetic Algorithm in Nonlinear Beam Dynamics March 14, 2012 DocID: 1v00v - View Document
	Derivative-Free Optimization: Lifting Single-Objective to Multi-Objective Algorithm Cyrille Dejemeppe, Pierre Schaus, and Yves Deville ICTEAM, Universit´e Catholique de Louvain (UCLouvain), Belgium, {cyrille.dejemeppe, DocID: 1uWVv - View Document
	Multi-objective Assessment And Optimization of Highway Monitoring System 道路モニタリングシステムの多目的評価と最適化に関する研究 Background & Purpose Intelligent transport systems and smart DocID: 1uSCe - View Document