2002Unpublished venueRequires access

Expediting Genetic Search With Dynamic Memory

Jason S. Byassee, Keith E. Mathias

Open publisher page 2 citations

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

About this research paper

What this paper is about

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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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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

Key concepts: Expediting, Computer science, Context (archaeology), Knowledge base, Memory management, Dynamic random-access memory, Adaptive memory, Process (computing)

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