1 Department of Mechanical Engineering, School of Engineering and Engineering Technology, Federal University of Technology, Ikot Abasi, Akwa Ibom State, Nigeria.
2 Department of Computer Engineering, Faculty of Engineering, TopFaith University Mkpatak, Akwa Ibom State, Nigeria.
3 Department of Electrical and Electronics Engineering, Faculty of Engineering, TopFaith University Mkpatak, Akwa Ibom State, Nigeria.
4 Department of Mechanical Engineering, Faculty of Engineering, University of Uyo, Akwa Ibom State, Nigeria.
5 Department of Electrical and Electronics Engineering, School of Engineering and Engineering Technology, Federal University of Technology, Ikot Abasi, Akwa Ibom State, Nigeria.
6 Department of Mechanical Engineering, Faculty of Engineering, University of Uyo, Akwa Ibom State, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2025, 24(01), 087-096.
Article DOI: 10.30574/gjeta.2025.24.1.0203
Received on 07 May 2025; revised on 08 July 2025; accepted on 11 July 2025
Genetic algorithm has emerged as one of the evolutionary computation techniques to solve complex problems that are not continuous, lacking linearity, derivatives and non-deterministic polynomial time problem(NP-Hard).It is a heuristic search and optimization technique that mimics the biological natural selection and survival of the fittest theory and terminates when either a maximum number of generations or a satisfactory level of fitness level has been reached for the population. The algorithm utilizes probability techniques and when structured satisfactory results could be achieved. Care is needed to eliminate convergence to local optimum by applying proper codes and encoding technique, selection and mutation.
Genetic algorithm; Gene; Mutation; Crossover; Genotype; Fitness function
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Whyte Asukwo Akpan, Godwin Daniel Essien, Chikodili Martha Orazulume, Francis Etebong Edet, Nsikakabasi Nsedu Inyang and Ndifreke Ikemesit Effeng. Genetic algorithm encoding and problems solving for enthusiasts. Global Journal of Engineering and Technology Advances, 2025, 24(1), 087-096. Article DOI: https://doi.org/10.30574/gjeta.2025.24.1.0203
