Development and Research of Methods for Analyzing the Effectiveness of Evolutionary and Swarm Algorithms
摘要
Abstract
The paper is devoted to the construction of a recommendation system for analyzing the effectiveness of algorithms for solving large-scale multidimensional optimization problems. Several existing systems for selecting the most efficient algorithms using decision trees are considered. An approach to predicting efficiency is proposed, based on statistical analysis using hybrid data filtering methods, and a comparison of the described methods is provided.