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Cache replacement solutions by evolutionary computing technique
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Authors:
Kayvan Tirdad
Ryerson University, Toronto, CA
Fatemeh Pakzad
Ryerson University, Toronto, CA
Abdolreza Abhari
Ryerson University, Toronto, CA
Published in:
· Proceeding
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Article No. 128
Society for Computer Simulation International
San Diego, CA
, USA
©2009
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2009 Article
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Tags:
algorithms
allocation/deallocation strategies
cache memories
cache replacement
design
evolutionary computing
genetic algorithm
genetic programming
heuristic methods
management
performance
scheduling
sequencing and scheduling
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