ABSTRACT
This conclusion presents some closing thoughts on the key concepts discussed in the preceding chapters of this book. The book formulates all the necessary steps to ensure the use of the newly developed jumping gene (JG) algorithms. As JG is a new addition to the existing evolutionary algorithms, the fundamental materials are sequentially presented. Considering the fact that the biogenetic phenomenon of the JG is new in computer science, this book outlines the basic biological gene transposition process to aid in comprehension of the concept. The transformation of gene manipulation in copy-and-paste and cut-and-paste processes into a computable language is crucial for gaining computationally executable coding. As a result, two mathematical equations describing the growth of schemata are established, one for the copy-and-paste and the other for the cut-and-paste operation. These are reinforced by a thoughtful hypothesis for testing their evolutionary capability with a backup of purposefully designed statistical simulation runs.
