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TEC
2008
165views more  TEC 2008»
13 years 6 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
RTSS
2005
IEEE
13 years 11 months ago
Enhanced EDF Scheduling Algorithms for Orchestrating Network-Wide Active Measurements
Monitoring network status such as end-to-end delay, jitter, and available bandwidth is important to support QoS-sensitive applications and timely detection of network anomalies li...
Prasad Calyam, Chang-Gun Lee, Phani Kumar Arava, D...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 7 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
EVOW
2009
Springer
13 years 4 months ago
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems
In recent years, optimization in dynamic environments has attracted a growing interest from the genetic algorithm community due to the importance and practicability in real world a...
Lili Liu, Dingwei Wang, Shengxiang Yang
APCSAC
2005
IEEE
13 years 11 months ago
Irregular Redistribution Scheduling by Partitioning Messages
Abstract. Dynamic data redistribution enhances data locality and improves algorithm performance for numerous scientific problems on distributed memory multi-computers systems. Prev...
Chang Yu, Ching-Hsien Hsu, Kun-Ming Yu, Chiu-Kuo L...