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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 9 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 9 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 9 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
PDPTA
2004
15 years 4 months ago
An Evaluation of Distributed Scheduling Algorithms Within the DESPOT Architecture
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Daniel Andresen, Jeffrey Lebak, Ethan Bowker
JUCS
2006
112views more  JUCS 2006»
15 years 3 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi