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» Challenges in Evaluating Distributed Algorithms
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GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 6 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
MOBICOM
1999
ACM
15 years 6 months ago
Multicast Operation of the Ad-Hoc On-Demand Distance Vector Routing Protocol
An ad-hoc network is the cooperative engagement of a collection of typically wireless mobile nodes without the required intervention of any centralized access point or existing ...
Elizabeth M. Belding-Royer, Charles E. Perkins
APN
1999
Springer
15 years 6 months ago
Parallel Approaches to the Numerical Transient Analysis of Stochastic Reward Nets
Abstract. This paper presents parallel approaches to the complete transient numerical analysis of stochastic reward nets (SRNs) for both shared and distributed-memory machines. Par...
Susann C. Allmaier, David Kreische
118
Voted
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
119
Voted
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 5 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski