Approaches to multi-objective feature selection: a systematic literature review
Feature selection has gained much consideration from scholars working in the domain of
machine learning and data mining in recent years. Feature selection is a popular problem in …
machine learning and data mining in recent years. Feature selection is a popular problem in …
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
Feature selection (FS), as one of the most significant preprocessing techniques in the fields
of machine learning and pattern recognition, has received great attention. In recent years …
of machine learning and pattern recognition, has received great attention. In recent years …
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion
F Zhao, L Zhao, L Wang, H Song - Expert Systems with Applications, 2020 - Elsevier
The distributed blocking flowshop scheduling problem (DBFSP) plays an essential role in
the manufacturing industry and has been proven to be as a strongly NP-hard problem. In this …
the manufacturing industry and has been proven to be as a strongly NP-hard problem. In this …
[HTML][HTML] Improved salp swarm algorithm for feature selection
Salp swarm algorithm (SSA) is a recently created bio-inspired optimization algorithm
presented in 2017 which is based on the swarming mechanism of salps. This paper tries to …
presented in 2017 which is based on the swarming mechanism of salps. This paper tries to …
Feature selection using artificial gorilla troop optimization for biomedical data: A case analysis with COVID-19 data
Feature selection (FS) is commonly thought of as a pre-processing strategy for determining
the best subset of characteristics from a given collection of features. Here, a novel discrete …
the best subset of characteristics from a given collection of features. Here, a novel discrete …
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems
Y He, F Zhang, S Mirjalili, T Zhang - Swarm and Evolutionary Computation, 2022 - Elsevier
In order to efficiently solve the binary optimization problems by using differential evolution
(DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by …
(DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by …
Breast cancer diagnosis using support vector machines optimized by whale optimization and dragonfly algorithms
Breast Cancer (BC) has become a critical illness with a high mortality rate during the
previous decade. It is considered the women's most common cancer. In this paper, we …
previous decade. It is considered the women's most common cancer. In this paper, we …
[HTML][HTML] Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
Data analysis in medicine is becoming more and more frequent to clarify diagnoses, refine
research methods, and plan appropriate equipment supplies according to the importance of …
research methods, and plan appropriate equipment supplies according to the importance of …
Incorporation of multimodal multiobjective optimization in designing a filter based feature selection technique
Current work reports about the development of a new feature selection technique fusing two
concepts, multimodal multiobjective optimization and filter-based feature selection. Use of …
concepts, multimodal multiobjective optimization and filter-based feature selection. Use of …
[HTML][HTML] A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease
S Mohapatra, S Maneesha, S Mohanty, PK Patra… - Healthcare …, 2023 - Elsevier
Abstract Cardiovascular Diseases (CVDs), or heart diseases, are one of the top-ranking
causes of death worldwide. About 1 in every 4 deaths is related to heart diseases, which are …
causes of death worldwide. About 1 in every 4 deaths is related to heart diseases, which are …