Case-based reasoning
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Issues and Applications of Case Based Reasoning to Design
Issues and Applications of Case Based Reasoning to Design
Case-Based Initialization of Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Robustness of Case-Initialized Genetic Algorithms
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
A case-based reasoning approach to formulating university timetables using genetic algorithms
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Representation, indexing, and retrieval of biological cases for biologically inspired design
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Literature review on the creativity of CBR applications
Artificial Intelligence Review
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We present a case adaptation method that employs ideas from the field of genetic algorithms. Two types of adaptations, case combination and case mutation, are used to evolve variations on the contents of retrieved cases until a satisfactory solution is found for a new specified problem. A solution is satisfactory if it matches the specified requirements and does not violate any constraints imposed by the domain of applicability. We have implemented our ideas in a computational system called GENCAD, applied to the layout design of residences such that they conform to the principles of feng shui, the Chinese art of placement. This implementation allows us to evaluate the use of GA's for case adaptation in CBR. Experimental results show the role of representation and constraints.