CCE Theses and Dissertations
Investigating the Role of Sexual Reproduction in Diploidy Age-Structured Evolutionary Populations
Date of Award
2003
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Graduate School of Computer and Information Sciences
Advisor
Gregory Simco
Committee Member
Sumitra Mukherjee
Committee Member
Junping Sun
Abstract
The John Holland genetic algorithm lacks some of the genomic regulatory mechanisms necessary to overcome novel environmental dynamics by fast adaptive change. This simple genetic algorithm uses a haploid chromosome-based cell that reproduces only once during its single generation life span by using a modified asexual reproductive technique. This original cellular structure does not support the expression of recessive genomic characteristics that are essential for adaptive change. Its single life span and reproductive cycle do not allow for the possibility of highly fit parents to continuously contribute to the successful evolution of the population. Asexual reproductive techniques fail to pass the test of natural selection. This research developed a new genetic algorithm that is based on an object-oriented representation of those structural and behavioral characteristics found in highly adaptive organisms. By using a diploid chromosome based cell that sexually reproduce across many generations; the research has produced a more adaptive optimization algorithm than originally produced by Holland when performance tested using De Jong's Test Functions.
NSUWorks Citation
Jerry A. Smith. 2003. Investigating the Role of Sexual Reproduction in Diploidy Age-Structured Evolutionary Populations. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, Graduate School of Computer and Information Sciences. (849)
https://nsuworks.nova.edu/gscis_etd/849.