Information Systems Frontiers, Year (2024-3)

Title : ( A Multi-objective Feature Selection Method Considering the Interaction Between Features )

Authors: motahhareh namakin , Modjtaba Rouhani , Mostafa Sabzekar ,

Citation: BibTeX | EndNote


Multi-objective feature selection is one of the most significant issues in the field of pattern recognition. It is challenging because it maximizes the classification performance and, at the same time, minimizes the number of selected features, and the mentioned two objectives are usually conflicting. To achieve a better Pareto optimal solution, metaheuristic optimization methods are widely used in many studies. However, the main drawback is the exploration of a large search space. Another problem with multi-objective feature selection approaches is the interaction between features. Selecting correlated features has negative effect on classification performance. To tackle these problems, we present a novel multi-objective feature selection method that has several advantages. Firstly, it considers the interaction between features using an advanced probability scheme. Secondly, it is based on the Pareto Archived Evolution Strategy (PAES) method that has several advantages such as simplicity and its speed in exploring the solution space. However, we improve the structure of PAES in such a way that generates the offsprings, intelligently. Thus, the proposed method utilizes the introduced probability scheme to produce more promising offsprings. Finally, it is equipped with a novel strategy that guides it to find the optimum number of features through the process of evolution. The experimental results show a significant improvement in finding the optimal Pareto front compared to state-of-the-art methods on different real-world datasets.


, Multi-objective feature selection, feature interaction, conditional probabilities, Pareto archived evolution strategy
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

author = {Namakin, Motahhareh and Rouhani, Modjtaba and مصطفی سبزه‌کار},
title = {A Multi-objective Feature Selection Method Considering the Interaction Between Features},
journal = {Information Systems Frontiers},
year = {2024},
month = {March},
issn = {1387-3326},
keywords = {Multi-objective feature selection; feature interaction; conditional probabilities; Pareto archived evolution strategy},


%0 Journal Article
%T A Multi-objective Feature Selection Method Considering the Interaction Between Features
%A Namakin, Motahhareh
%A Rouhani, Modjtaba
%A مصطفی سبزه‌کار
%J Information Systems Frontiers
%@ 1387-3326
%D 2024