A tutorial on case based reasoning
Soft computing in case based reasoning
Teacher: a genetics based system for learning and generalizing heuristics
Soft computing in case based reasoning
Genetic Algorithms to Optimise CBR Retrieval
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Case-Based Reasoning for Estuarine Model Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
An Evolutionary Approach to Case Adaption
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Case-Based Reasoning in Course Timetabling: An Attribute Graph Approach
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Expert Systems with Applications: An International Journal
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This paper presents a technique to construct generic university timetables using case-based reasoning (CBR) with genetic algorithms (GAs). The case-based reasoning methodology allows a past memory of timetables to be stored and accessed via retrieval mechanisms, finding a past solution most fitting to the new timetable input problem. In the instance that a past solution is not well suited to the new timetable requirements, a genetic algorithm is employed to adapt the past timetables in the case memory. The hybrid technique used implements a learning mechanism to aid in the revision and adaptation of new timetable solutions. The focus of this technique is a feedback mechanism which allows the system to diagnose the violation of hard-constraints fitted to timetable creation.