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» On the Evolution of Evolutionary Algorithms
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RTSS
1996
IEEE
15 years 10 months ago
Reducing the number of clock variables of timed automata
We propose a method for reducing the number of clocks of a timed automaton by combining two algorithms. The first one consists in detecting active clocks, that is, those clocks wh...
Conrado Daws, Sergio Yovine
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
16 years 7 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
ICPPW
2009
IEEE
16 years 26 days ago
Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
177
Voted
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
16 years 13 days ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 11 days ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...