New genetic algorithm with a maximal information coefficient based mutation

Authors:
Nicholas Romito
Affiliations:
-
Venue:
Proceedings of the 51st ACM Southeast Conference
Year:
2013

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Abstract

In this paper, the Maximal Information Coefficient (MIC) will be used to modify the Genetic Algorithm (GA) in order to solve multi-variable optimization problems more efficiently and accurately. The MIC modified GA (MICGA) learns the problem structure by calculating the MIC. The original GA is compared to the MICGA and many other types of optimization algorithms to determine the most efficient optimization method.