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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
LCPC
1997
Springer
14 years 5 days ago
Automatic Data Decomposition for Message-Passing Machines
The data distribution problem is very complex, because it involves trade-offdecisions between minimizing communication and maximizing parallelism. A common approach towards solving...
Mirela Damian-Iordache, Sriram V. Pemmaraju
ICCAD
2007
IEEE
139views Hardware» more  ICCAD 2007»
14 years 2 months ago
Using functional independence conditions to optimize the performance of latency-insensitive systems
—In latency-insensitive design shell modules are used to encapsulate system components (pearls) in order to interface them with the given latency-insensitive protocol and dynamic...
Cheng-Hong Li, Luca P. Carloni
TCAD
2008
103views more  TCAD 2008»
13 years 8 months ago
Topology-Based Performance Analysis and Optimization of Latency-Insensitive Systems
Latency-insensitive protocols allow system-on-chip (SoC) engineers to decouple the design of the computing cores from the design of the intercore communication channels while follo...
Rebecca L. Collins, Luca P. Carloni