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EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 3 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
ICDCS
2003
IEEE
15 years 2 months ago
Effective Delay Control for High Rate Heterogeneous Real-time Flows
This paper presents a new method to control the delay performance for high rate heterogeneous real-time traffic flows based on a novel traffic control algorithm which is a gene...
Weijia Jia, Hanxing Wang, Maoning Tang, Wei Zhao
ICC
2008
IEEE
121views Communications» more  ICC 2008»
15 years 4 months ago
Maximization of Network Survival Time in the Event of Intelligent and Malicious Attacks
—It is not possible to ensure that a network is absolutely secure. Therefore, network operators must continually change their defense strategies to counter attackers who constant...
Po-Hao Tsang, Frank Yeong-Sung Lin, Chun-Wei Chen
ICCS
2009
Springer
15 years 4 months ago
Modular, Fine-Grained Adaptation of Parallel Programs
We present a modular approach to realizing fine-grained adaptation of program behavior in a parallel environment. Using a compositional framework based on function call intercepti...
Pilsung Kang 0002, Naresh K. C. Selvarasu, Naren R...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 1 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...