Applying Evolutionary Computing in Case Retrieval Stage

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.