Accelerating Genetic Algorithms using Constant Memory in GPUs


We propose a novel GPU variant for genetic algorithm that uses constant memory effectively to store and share the elite population across different blocks to obtain faster convergence rates. We compare our algorithm to a previous work which does not use constant memory, and show that using constant memory significantly improves the quality of solution for a… (More)


3 Figures and Tables

Slides referencing similar topics