Research Article Open Access

Applying Evolutionary Computing in Case Retrieval Stage

Nabila Nouaouria-Amri1 and Med Tayeb Laskri2
  • 1 ,
  • 2 , Afganistan
Journal of Computer Science
Volume 1 No. 3, 2005, 419-423

DOI: https://doi.org/10.3844/jcssp.2005.419.423

Submitted On: 17 April 2005 Published On: 30 September 2005

How to Cite: Nouaouria-Amri, N. & Laskri, M. T. (2005). Applying Evolutionary Computing in Case Retrieval Stage. Journal of Computer Science, 1(3), 419-423. https://doi.org/10.3844/jcssp.2005.419.423

Abstract

Case Based Reasoning is a problem solving paradigm which is able to retrieve and reuse solutions that have worked for similar situations in the past. Past situations and their solutions are stored in a memory called case base. To find the good experiment in memory is the key of success in the reasoning. To identify adequate experiment in memory constitutes the process of recall. The study presents an associative memory model used for a Case-Based Reasoner. The search algorithm is funded on an evolutionary approach to compute neighbourhood of a new problem then a direct access is performed.

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Keywords

  • Artificial Intelligence
  • Case Based Reasoning
  • Evolutionary Computing
  • Case Retrieval