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Genetic algorithm encoding and problems solving for enthusiasts

Year: 2025

Type: article

Abstract: 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.

Source: Global Journal of Engineering and Technology Advances

DOI: 10.30574/gjeta.2025.24.1.0203

Authors: Whyte Asukwo Akpan, Godwin Daniel Essien, Chikodili Martha Orazulume, Francis Etebong Edet, Nsikakabasi Nsedu Inyang, Ndifreke Ikemesit Effeng

Institutions: Federal University of Technology Ikot Abasi, Topfaith University, University of Uyo

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4412471135

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