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» Solving Hierarchical Optimization Problems Using MOEAs
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AGENTS
2001
Springer
15 years 7 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
EOR
2006
61views more  EOR 2006»
15 years 3 months ago
Scheduling trainees at a hospital department using a branch-and-price approach
Scheduling trainees (graduate students) is a complicated problem that has to be solved frequently in many hospital departments. We will describe a trainee-scheduling problem encou...
Jeroen Beliën, Erik Demeulemeester
130
Voted
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
15 years 9 months ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
ICC
2008
IEEE
161views Communications» more  ICC 2008»
15 years 9 months ago
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
—This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wireless network subject to traffic demands and SINR (signalto-interference-plus...
Liqun Fu, Soung Chang Liew, Jianwei Huang
ALENEX
2001
101views Algorithms» more  ALENEX 2001»
15 years 4 months ago
CNOP - A Package for Constrained Network Optimization
Abstract. We present a generic package for resource constrained network optimization problems. We illustrate the flexibility and the use of our package by solving four applications...
Kurt Mehlhorn, Mark Ziegelmann