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» Embedded core testing using genetic algorithms
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TOG
2012
230views Communications» more  TOG 2012»
13 years 5 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
WCE
2007
15 years 3 months ago
Optimizing Designs based on Risk Approach
— In this paper a new approach to optimize nuclear power plant designs based on global risk reduction are described. In design the focus is on as components quality as redundancy...
Jorge E. Núñez Mc Leod, Selva S. Riv...
104
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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 3 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
ASC
2011
14 years 9 months ago
Autonomic fault-handling and refurbishment using throughput-driven assessment
A new paradigm for online EH regeneration using Genetic Algorithms (GAs) called Competitive Runtime Reconfiguration (CRR) is developed where performance is assessed based upon a b...
Ronald F. DeMara, Kening Zhang, Carthik A. Sharma
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 4 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli