Akademik Veri Yönetim Sistemi
Journal of Engineering Research and Applied Science, cilt.13, sa.1, ss.2500-2514, 2024 (Hakemli Dergi)
This research introduces an enhanced cellular genetic algorithm employing machine-coded operators specifically tailored for real-valued optimization problems. The utilization of byte-based operators, designed to handle numerical data in a memory-efficient manner, distinguishes this approach. The study systematically evaluates the performance of the proposed algorithm across various test functions, including Ackley, Bohachevsky, Griewank, Holzman, Rastrigin, Rosenbrock, Schaffer, Chichinadze and Sphere. Simulation results reveal that the byte operators consistently outperform traditional counterparts, demonstrating the effectiveness of this novel approach in real-valued optimization scenarios.