Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)
Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …
dimension of the feature set while maintaining the accuracy of the performance is the main …
[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
A bi-objective home healthcare routing and scheduling problem considering patients' satisfaction in a fuzzy environment
Home care services are an alternative answer to hospitalization, and play an important role
in reducing the healthcare costs for governments and healthcare practitioners. To find a …
in reducing the healthcare costs for governments and healthcare practitioners. To find a …
The combined social engineering particle swarm optimization for real-world engineering problems: A case study of model-based structural health monitoring
Structural health monitoring (SHM) is a substantial research direction in structural
engineering being scrutinized in recent years due to its significance in ensuring structural …
engineering being scrutinized in recent years due to its significance in ensuring structural …
A biobjective home health care logistics considering the working time and route balancing: a self-adaptive social engineering optimizer
F Goodarzian, A Abraham… - Journal of …, 2021 - academic.oup.com
Home health care (HHC) logistics have become a hot research topic in recent years due to
the importance of HHC services for the care of ageing population. The logistics of HHC …
the importance of HHC services for the care of ageing population. The logistics of HHC …
Modeling a sustainable vaccine supply chain for a healthcare system
This study develops a vaccine supply chain (VSC) to ensure sustainable distribution during
a global crisis in a developing economy. In this study, a multi-objective mixed-integer …
a global crisis in a developing economy. In this study, a multi-objective mixed-integer …
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
Feature selection is one of the most important challenges in machine learning and data
science. This process is usually performed in the data preprocessing phase, where the data …
science. This process is usually performed in the data preprocessing phase, where the data …
Machine learning based accident prediction in secure iot enable transportation system
Smart city has come a long way since the development of emerging technology like
Information and communications technology (ICT), Internet of Things (IoT), Machine …
Information and communications technology (ICT), Internet of Things (IoT), Machine …
Application and planning of an energy-oriented stochastic disassembly line balancing problem
X Zhang, H Zhou, C Fu, M Mi, C Zhan, DT Pham… - … Science and Pollution …, 2023 - Springer
Abstract End-of-life (EOL) products are getting more and more attention as a result of the
rapid decline in environmental resources and the dramatic rise in population at the moment …
rapid decline in environmental resources and the dramatic rise in population at the moment …
Review of metaheuristics inspired from the animal kingdom
EN Dragoi, V Dafinescu - Mathematics, 2021 - mdpi.com
The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …