Heat transfer analysis of an inclined longitudinal porous fin of trapezoidal, rectangular and dovetail profiles using cascade neural networks
In this paper, the mathematical model of an inclined longitudinal porous fin of trapezoidal,
rectangular, and dovetail profiles in the presence of convective and radiative environments …
rectangular, and dovetail profiles in the presence of convective and radiative environments …
Improved manta ray foraging optimizer-based SVM for feature selection problems: a medical case study
Abstract Support Vector Machine (SVM) has become one of the traditional machine learning
algorithms the most used in prediction and classification tasks. However, its behavior …
algorithms the most used in prediction and classification tasks. However, its behavior …
A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making
Q Zhang, A Huang, L Shao, P Wu, AA Heidari… - Journal of …, 2022 - Elsevier
Accurately identifying viruses from bacteria determine the therapy and outcome of patients
suffering from pneumonia. This study focuses on exploring the capability of machine …
suffering from pneumonia. This study focuses on exploring the capability of machine …
A decomposition-based multiobjective evolutionary algorithm using Simulated Annealing for the ambulance dispatching and relocation problem during COVID-19
The outbreak of the COVID-19 epidemic has had a significant impact in increasing the
number of emergency calls, which causes significant problems to emergency medical …
number of emergency calls, which causes significant problems to emergency medical …
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power …
C Wang, H Lin, H Hu, M Yang, L Ma - Energy, 2024 - Elsevier
With the continuous global increase in installed wind power capacity and subsequent surge
in power generation, the contradiction between the safe operation of the grid and the …
in power generation, the contradiction between the safe operation of the grid and the …
An external archive guided Harris Hawks optimization using strengthened dominance relation for multi-objective optimization problems
Abstract In this paper, Multi-Objective Harris Hawks Optimization (MOHHO) is proposed
based on strengthened dominance relation (SRD) to solve multi-objective optimization …
based on strengthened dominance relation (SRD) to solve multi-objective optimization …
Multicriteria game approach to air-to-air combat tactical decisions for multiple UAVs
Air-to-air combat tactical decisions for multiple unmanned aerial vehicles (ACTDMU) are a
key decision-making step in beyond visual range combat. Complex influencing factors …
key decision-making step in beyond visual range combat. Complex influencing factors …
An Improved Multi-Objective Harris Hawks Optimization Algorithm for Solving EDM Problems
In this study, an improved multi-objective Harris hawks optimization algorithm (IMHHO) is
developed to solve optimization problems related to the EDM process. In the IMHHO …
developed to solve optimization problems related to the EDM process. In the IMHHO …
A guided epsilon-dominance arithmetic optimization algorithm for effective multi-objective optimization in engineering design problems
Abstract The Arithmetic Optimization Algorithm (AOA) was recently proposed as a solution
for single-objective real continuous problems and has demonstrated superior performance …
for single-objective real continuous problems and has demonstrated superior performance …
Multi-Objective Optimization of Multi-Product Parallel Disassembly Line Balancing Problem Considering Multi-Skilled Workers Using a Discrete Chemical Reaction …
This work investigates a multi-product parallel disassembly line balancing problem
considering multi-skilled workers. A mathematical model for the parallel disassembly line is …
considering multi-skilled workers. A mathematical model for the parallel disassembly line is …