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» Optimizing for Reduced Code Space using Genetic Algorithms
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SIGMETRICS
2010
ACM
217views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
Optimal recovery of single disk failure in RDP code storage systems
Modern storage systems use thousands of inexpensive disks to meet the storage requirement of applications. To enhance the data availability, some form of redundancy is used. For e...
Liping Xiang, Yinlong Xu, John C. S. Lui, Qian Cha...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 6 months ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
ISDA
2008
IEEE
15 years 8 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
IWANN
1995
Springer
15 years 5 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...