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PE
2008
Springer
114views Optimization» more  PE 2008»
13 years 11 months ago
Buffer overflow asymptotics for multiplexed regulated traffic
By characterizing the worst case profile, which maximizes the content of a buffer fed with leaky bucket regulated flows in packet telecommunication networks, we derive a tight upp...
Yu Ying, Fabrice Guillemin, Ravi Mazumdar, Catheri...
PE
2008
Springer
139views Optimization» more  PE 2008»
13 years 11 months ago
Performance optimization of region-based group key management in mobile ad hoc networks
We propose and analyze a scalable and efficient region-based group key management protocol for secure group communications in mobile ad hoc networks. For scalability and dynamic r...
Jin-Hee Cho, Ing-Ray Chen, Ding-Chau Wang
PE
2008
Springer
143views Optimization» more  PE 2008»
13 years 11 months ago
Improving the performance of large interconnection networks using congestion-control mechanisms
As the size of parallel computers increases, as well as the number of sources per router node, congestion inside the interconnection network rises significantly. In such systems, ...
José Miguel-Alonso, Cruz Izu, José-&...
PE
2008
Springer
106views Optimization» more  PE 2008»
13 years 11 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
PE
2008
Springer
87views Optimization» more  PE 2008»
13 years 11 months ago
Output analysis of multiclass fluid models with static priorities
Elena I. Tzenova, Ivo J. B. F. Adan, Vidyadhar G. ...
HM
2010
Springer
146views Optimization» more  HM 2010»
13 years 11 months ago
An Improved Memetic Algorithm for Break Scheduling
In this paper we consider solving a complex real life break scheduling problem. This problem of high practical relevance arises in many working areas, e.g. in air traffic control a...
Magdalena Widl, Nysret Musliu
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 11 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
GECCO
2010
Springer
225views Optimization» more  GECCO 2010»
13 years 11 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noiseless testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 11 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith