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SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
15 years 9 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
INFOCOM
2002
IEEE
15 years 8 months ago
SWAN: Service Differentiation in Stateless Wireless Ad Hoc Networks
—We propose SWAN, a stateless network model which uses distributed control algorithms to deliver service differentiation in mobile wireless ad hoc networks in a simple, scalable ...
Gahng-Seop Ahn, Li-Hsiang Sun, Andras Veres, Andre...
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 8 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
139
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IDMS
2001
Springer
145views Multimedia» more  IDMS 2001»
15 years 8 months ago
A Service Differentiation Scheme for the End-System
A number of research studies show that the operating system has a substantial influence on communication delay in distributed environments. Thus, in order to provide applications w...
Domenico Cotroneo, Massimo Ficco, Giorgio Ventre
AAAI
2007
15 years 6 months ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou