Jul 27, 2019 � This paper uses the multi-objective bacterial foraging optimization algorithm to select the feature subsets and k-nearest neighbor algorithm as the evaluation�...
Abstract: Feature selection plays an important role in data preprocessing. The aim of feature selection is to recognize and remove redundant or irrelevant�...
In order to address feature selection problem, this paper uses the multi-objective bacterial foraging optimization algorithm to select the feature subsets and k�...
A multi-objective feature selection method based on bacterial foraging optimization. https://doi.org/10.1007/s11047-019-09754-6 �. Journal: Natural Computing�...
People also ask
What is the bacterial foraging optimization technique?
What are the advantages of bacterial foraging optimization algorithm?
What is the BFO algorithm?
This paper proposes a new multi-objective chemical reaction optimization algorithm for FS, termed MOFSCRO.
This paper describes a novel Bacterial Foraging Optimization (BFO) approach to multi-objective optimization, called Multi-objective Bacterial Foraging�...
The proposed MOBFOA uses new fitness assignment method and bacteria selection procedure for simultaneous optimization of multiple objectives, where each�...
The proposed algorithm combines the crossover-archives strategy and the life-cycle optimization strategy, look for the best method through research area.
Nov 30, 2022 � This paper proposes an efficient evolutionary-based multi-objective feature selection approach with a correlation coefficient filter method.
In this paper, a hybrid filter multi-objective evolutionary algorithm (HFMOEA) has been proposed based on the nondominated sorting genetic algorithm (NSGA-II)