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GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 11 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 7 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen
HPDC
2009
IEEE
16 years 1 months ago
TakTuk, adaptive deployment of remote executions
This article deals with TakTuk, a middleware that deploys efficiently parallel remote executions on large scale grids (thousands of nodes). This tool is mostly intended for intera...
Benoit Claudel, Guillaume Huard, Olivier Richard
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 23 days ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
DATE
2004
IEEE
145views Hardware» more  DATE 2004»
15 years 10 months ago
Hierarchical Adaptive Dynamic Power Management
Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can...
Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu