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GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
12 years 11 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
COR
2010
164views more  COR 2010»
13 years 7 months ago
The distributed permutation flowshop scheduling problem
This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPF...
B. Naderi, Rubén Ruiz
TMC
2008
146views more  TMC 2008»
13 years 7 months ago
General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies
In multihop wireless sensor networks that are often characterized by many-to-one (convergecast) traffic patterns, problems related to energy imbalance among sensors often appear. S...
Zhao Cheng, Mark A. Perillo, Wendi B. Heinzelman
CODES
2006
IEEE
14 years 1 months ago
Fuzzy decision making in embedded system design
The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem of increasing complexity in embedded systems design. One of the major challenges in...
Alessandro G. Di Nuovo, Maurizio Palesi, Davide Pa...
CEC
2005
IEEE
14 years 1 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher