Gaussian mutational chaotic fruit fly-built optimization and feature selection
To cope with the potential shortcomings of classical fruit fly optimization algorithm (FOA), a
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …
new version of FOA with Gaussian mutation operator and the chaotic local search strategy …
Dynamic Gaussian bare-bones fruit fly optimizers with abandonment mechanism: method and analysis
Abstract The Fruit Fly Optimization Algorithm (FOA) is a recent algorithm inspired by the
foraging behavior of fruit fly populations. However, the original FOA easily falls into the local …
foraging behavior of fruit fly populations. However, the original FOA easily falls into the local …
[HTML][HTML] An unsupervised cluster-based feature grouping model for early diabetes detection
Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …
A systematic review on fruit fly optimization algorithm and its applications
Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
Stochastic multi-objective integrated disassembly-reprocessing-reassembly scheduling via fruit fly optimization algorithm
Remanufacturing end-of-life (EOL) products is an important approach to yield great
economic and environmental benefits. A remanufacturing process usually contains three …
economic and environmental benefits. A remanufacturing process usually contains three …
Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems
Z Zhao, Y Zhou, X Wang, Z Wang, Y Bai - Expert Systems with Applications, 2022 - Elsevier
Water quality assessment analysis is an important technical means for water pollution
prevention and control. In this research area, mechanism models and real observation data …
prevention and control. In this research area, mechanism models and real observation data …
An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: medical diagnosis applications
SM Mousavi, S Abdullah, STA Niaki… - Knowledge-Based …, 2021 - Elsevier
Uncertainty is a critical factor in medical datasets needed to be overcome for increasing
diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a …
diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a …
Efficient multiclass classification using feature selection in high-dimensional datasets
Feature selection has become essential in classification problems with numerous features.
This process involves removing redundant, noisy, and negatively impacting features from …
This process involves removing redundant, noisy, and negatively impacting features from …
Robust possibilistic programming for multi-item EOQ model with defective supply batches: Whale Optimization and Water Cycle Algorithms
S Khalilpourazari, SHR Pasandideh… - Neural computing and …, 2019 - Springer
This paper proposes a new mathematical model for multi-product economic order quantity
model with imperfect supply batches. The supply batch is inspected upon arrival using “all or …
model with imperfect supply batches. The supply batch is inspected upon arrival using “all or …
Toward the energy-saving optimization of WLAN deployment in real 3-D environment: A hybrid swarm intelligent method
The deployment of access points (APs) imposes a great impact on the performance of
wireless local area networks (WLANs). Although there have been plenty of works on the …
wireless local area networks (WLANs). Although there have been plenty of works on the …