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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 11 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
GECCO
2010
Springer
193views Optimization» more  GECCO 2010»
15 years 11 months ago
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comp
The choice of which of the available strategies should be used within the Differential Evolution algorithm for a given problem is not trivial, besides being problem-dependent and...
Álvaro Fialho, Marc Schoenauer, Michè...
IJCIS
1998
116views more  IJCIS 1998»
15 years 6 months ago
Distributed Query Scheduling Service: An Architecture and Its Implementation
We present the systematic design and development of a distributed query scheduling service DQS in the context of DIOM, a distributed and interoperable query mediation system 26 ...
Ling Liu, Calton Pu, Kirill Richine
CDC
2010
IEEE
181views Control Systems» more  CDC 2010»
15 years 1 months ago
Relationship between power loss and network topology in power systems
This paper is concerned with studying how the minimum power loss in a power system is related to its network topology. The existing algorithms in the literature all exploit nonline...
Javad Lavaei, Steven H. Low
AAAI
2006
15 years 8 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch