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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 9 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
TEC
2008
165views more  TEC 2008»
15 years 3 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
CVPR
2000
IEEE
16 years 5 months ago
Improved Motion Stereo Matching Based on a Modified Dynamic Programming
A new method for computing precise depth map estimates of 3D shape of a moving object is proposed. 3D shape recovery in motion stereo is formulated as a matching optimization prob...
Mikhail Mozerov, Vitaly Kober, Tae-Sun Choi
PCM
2004
Springer
144views Multimedia» more  PCM 2004»
15 years 8 months ago
Dynamic Programming Based Adaptation of Multimedia Contents in UMA
Content adaptation is an effective solution to support the quality of service for multimedia services over heterogeneous networks. This paper deals with the accuracy and the real-...
Truong Cong Thang, Yong Ju Jung, Yong Man Ro
108
Voted
GLOBECOM
2008
IEEE
15 years 9 months ago
Throughput and Delay of DSL Dynamic Spectrum Management with Dynamic Arrivals
Abstract—In modern DSL networks, crosstalk among different lines (i.e., users) is the major source of performance degradation. Dynamic Spectrum Management (DSM) refers to a set o...
Paschalis Tsiaflakis, Yung Yi, Mung Chiang, Marc M...