ISBN: 978-981-18-7950-0 DOI: 10.18178/wcse.2023.06.047
Fibonacci Sequence in Genetic Algorithm
Abstract—This paper presents an application of Fibonacci Sequence (FS) in determining the population of Genetic Algorithm (GA) called Fibonacci Sequence in Genetic Algorithm (FSGA). The objective is to develop GA to be able to find better results. We have tested with one-max problem that is suitable for evaluating algorithm. We have configured of GA parameters is the same except for the size of population. From the experiment with one max problem in different length shows that FSGA better than Simple Genetic Algorithm (SGA).
Index Terms—genetic algorithm, fibonacci sequence, size of population
Warayu Intawongs, Wirat Leenavonganan, Tanin Sammanee
Deepscope Thailand, THAILAND
Cite: Warayu Intawongs, Wirat Leenavonganan, Tanin Sammanee, "Fibonacci Sequence in Genetic Algorithm" Proceedings of 2023 the 13th International Workshop on Computer Science and Engineering (WCSE 2023), pp. 317-321, June 16-18, 2023.