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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
14 years 10 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
AINA
2006
IEEE
14 years 11 months ago
DiVES: A Distributed Support for Networked Virtual Environments
This paper presents DiV ES, a distributed support for the development of networked Distributed Virtual Environments. DiV ES exploits the publish subscribe interaction model to def...
A. Bonotti, Luca Genovali, Laura Ricci
PADS
2003
ACM
15 years 2 months ago
Power-aware State Dissemination in Mobile Distributed Virtual Environments
In distributed simulations, such as multi-player distributed virtual environments (DVE), power consumption traditionally has not been a major design factor. However, emerging batt...
Weidong Shi, Kalyan S. Perumalla, Richard M. Fujim...
EMO
2001
Springer
209views Optimization» more  EMO 2001»
15 years 2 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
15 years 2 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...