Expediting Genetic Search With Dynamic Memory
Jason S. Byassee, Keith E. Mathias
Abstract
Jason S. Byassee, Keith E. Mathias
Abstract
Exploitation of domain knowledge can expedite the process of finding solutions to new problems. This research is focused on a distributed memory system which maintains a dynamic knowledge base, in the form of memory cells, that are employed to improve search performance over time. Short-term and longterm memory models are analyzed in the context of the distributed memory system. Results indicate that genetic search performance is significantly impacted by the quantity and quality of information that is maintained in memory. 1
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Exploitation of domain knowledge can expedite the process of finding solutions to new problems. This research is focused on a distributed memory system which maintains a dynamic knowledge base, in the form of memory cells, that are employed to improve search performance over time. Short-term and longterm memory models are analyzed in the context of the distributed memory system. Results indicate that genetic search performance is significantly impacted by the quantity and quality of information that is maintained in memory. 1
Key concepts: Expediting, Computer science, Context (archaeology), Knowledge base, Memory management, Dynamic random-access memory, Adaptive memory, Process (computing)