Date of Graduation
2017
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Roy Nutter
Committee Co-Chair
Matthew Valenti
Committee Member
Yanfang Ye
Abstract
This study identifies optimal parameter values for a genetic algorithm used in the synthesis of combinational logic circuits. Parameters used to obtain an initial solution circuit are examined as well as parameters used to optimize solution circuits. Finding an initial solution circuit was done using a fitness function that was less influential while optimizing solution circuits used a stronger fitness function. This allowed parameters to be studied under very different circumstances. It was discovered that parameters which maintained a higher genetic diversity and strayed farther from the concept of "Survival of the Fittest" produced better results in general.
Recommended Citation
Ward, Joshua, "Empirical Genetic Algorithm Parameter Tuning Concerning the Synthesis of Combinational Logic Circuits" (2017). Graduate Theses, Dissertations, and Problem Reports. 6913.
https://researchrepository.wvu.edu/etd/6913