DEAP

Learning classifier systems (LCS) and Genetics-Based Machine Learning (GBML) have been using the multiplexer problem as a toy problem because of its properties; among others, its dynamic dependencies based on the input values and the exponential nature of the required solution as a function of the number of inputs. There is a great introduction why the multiplexer is interesting for LCS and GBML systems at Wilson’s XCS field-defining paper. A simple definition [1] of the multiplexer is as follows: ...