Year: 2026
Type: conference-paper
Abstract: Evolutionary Algorithms are search methods inspired by the concepts of adaptation and survival of the fittest. Their operation can require large samples to provide a good solution, which hinders their application when evaluations are limited. As such this study presents a methodology to accelerate the EA convergence by moving its population based on the positions of the population. Tests against competing algorithms show the proposed approach has performed well.
Author: Yoel Tenne
Institution: Ariel University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225167307