@article { , title = {Case-base maintenance with multi-objective evolutionary algorithms.}, abstract = {Case-Base Reasoning is a problem-solving methodology that uses old solved problems, called cases, to solve new problems. The case-base is the knowledge source where the cases are stored, and the amount of stored cases is critical to the problem-solving ability of the Case-Base Reasoning system. However, when the case-base has many cases, then performance problems arise due to the time needed to find those similar cases to the input problem. At this point, Case-Base Maintenance algorithms can be used to reduce the number of cases and maintain the accuracy of the Case-Base Reasoning system at the same time. Whereas Case-Base Maintenance algorithms typically use a particular heuristic to remove (or select) cases from the case-base, the resulting maintained case-base relies on the proportion of redundant and noisy cases that are present in the case-base, among other factors. That is, a particular Case-Base Maintenance algorithm is suitable for certain types of case-bases that share some indicators, such as redundancy and noise levels. In the present work, we consider Case-Base Maintenance as a multi-objective optimization problem, which is solved with a Multi-Objective Evolutionary Algorithm. To this end, a fitness function is introduced to measure three different objectives based on the Complexity Profile model. Our hypothesis is that the Multi-Objective Evolutionary Algorithm performing Case-Base Maintenance may be used in a wider set of case-bases, achieving a good balance between the reduction of cases and the problem-solving ability of the Case-Based Reasoning system. Finally, from a set of the experiments, our proposed Multi-Objective Evolutionary Algorithm performing Case-Base Maintenance shows regularly good results with different sets of case-bases with different proportion of redundant and noisy cases.}, doi = {10.1007/s10844-015-0378-z}, eissn = {1573-7675}, issn = {0925-9902}, issue = {2}, journal = {Journal of intelligent information systems}, note = {COMPLETED ADDITIONAL INFORMATION: Craw, Susan -- Panel B}, pages = {259-284}, publicationstatus = {Published}, publisher = {Springer}, url = {http://hdl.handle.net/10059/1442}, volume = {46}, keyword = {Case based reasoning, Case base maintenance, Multi objective evolutionary algorithms}, year = {2016}, author = {Lupiani, Eduardo and Massie, Stewart and Craw, Susan and Juarez, Jose M. and Palma, Jose} }