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ATAL
2010
Springer
15 years 1 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
JPDC
2006
175views more  JPDC 2006»
15 years 23 days ago
Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines
Virtualization provides a vehicle to manage the available resources and enhance their utilization in network computing. System dynamics requires virtual machines be distributed an...
Song Fu, Cheng-Zhong Xu
CCE
2004
15 years 20 days ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
102
Voted
SYNTHESE
2010
102views more  SYNTHESE 2010»
14 years 11 months ago
Coherent choice functions under uncertainty
We discuss several features of coherent choice functions – where the admissible options in a decision problem are exactly those which maximize expected utility for some probabil...
Teddy Seidenfeld, Mark J. Schervish, Joseph B. Kad...
123
Voted
CEC
2009
IEEE
15 years 7 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang