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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 22 days ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
EDBT
2006
ACM
120views Database» more  EDBT 2006»
16 years 6 months ago
Query Planning in the Presence of Overlapping Sources
Navigational queries on Web-accessible life science sources pose unique query optimization challenges. The objects in these sources are interconnected to objects in other sources, ...
Jens Bleiholder, Samir Khuller, Felix Naumann, Lou...
IPPS
2006
IEEE
16 years 17 days ago
Workforce planning with parallel algorithms
Workforce planning is an important activity that enables organizations to determine the workforce needed for continued success. A workforce planning problem is a very complex task...
Enrique Alba, Gabriel Luque, Francisco Luna
IJCAI
2003
15 years 8 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
MP
2002
84views more  MP 2002»
15 years 6 months ago
A decomposition procedure based on approximate Newton directions
The efficient solution of large-scale linear and nonlinear optimization problems may require exploiting any special structure in them in an efficient manner. We describe and analy...
Antonio J. Conejo, Francisco J. Nogales, Francisco...