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» Solving Hierarchical Optimization Problems Using MOEAs
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EOR
2007
101views more  EOR 2007»
13 years 7 months ago
Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms
Heavy industry maintenance facilities at aircraft service centers or railroad yards must contend with scheduling preventive maintenance tasks to ensure critical equipment remains ...
Gang Quan, Garrison W. Greenwood, Donglin Liu, Xia...
SIGMETRICS
2008
ACM
181views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Counter braids: a novel counter architecture for per-flow measurement
Fine-grained network measurement requires routers and switches to update large arrays of counters at very high link speed (e.g. 40 Gbps). A naive algorithm needs an infeasible amo...
Yi Lu, Andrea Montanari, Balaji Prabhakar, Sarang ...
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
14 years 2 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
SIGMETRICS
2008
ACM
150views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Performance of random medium access control, an asymptotic approach
Random Medium-Access-Control (MAC) algorithms have played an increasingly important role in the development of wired and wireless Local Area Networks (LANs) and yet the performanc...
Charles Bordenave, David McDonald, Alexandre Prout...
PPSN
1990
Springer
13 years 12 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu