A Genetic Algorithm With Self-Generated Random Parameters
|
| Title | A Genetic Algorithm With Self-Generated Random Parameters |
| Authors | |
| Abstract | In this paper we present a version of genetic algorithm (GA) where parameters are created by the GA itself, rather than predetermined by the programmer. Chromosome portions which do not translate into fitness (“genetic residual”) are given function to diversify control parameters for the GA,providing random parameter setting along the way, and doing away with fine-tuning of probabilities of crossover and mutation. We test the algorithm on Royal Road functions to examine the difference between our version (GAR) and the simple genetic algorithm (SGA) in the speed of discovering schema and creating building blocks. We also look at the usefulness of other standard improvements, such as non-coding segments, elitist selection and multiple crossover on the evolution of schema. |
| Publisher | University of Zagreb, University Computing Centre - SRCE |
| Date | 1970-01-01 |
| Source | Journal of Computing and Information Technology Vol 11, No 4 (2003) |
| Rights | CIT. Journal of Computing and Information Technology is an open access journal.Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |