A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
[HTML][HTML] A review of hydrogen production and supply chain modeling and optimization
This paper reviews recent optimization models for hydrogen supply chains and production.
Optimization is a central component of systematic methodologies to support hydrogen …
Optimization is a central component of systematic methodologies to support hydrogen …
Numerical investigation of a new combined energy system includes parabolic dish solar collector, Stirling engine and thermoelectric device
M Mehrpooya, N Ghadimi, M Marefati… - … Journal of Energy …, 2021 - Wiley Online Library
According to new findings, the use of clean energy sources such as solar energy to supply
energy (both electricity and heat) to human societies is essential. On the other hand …
energy (both electricity and heat) to human societies is essential. On the other hand …
A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
A review of Pareto pruning methods for multi-objective optimization
Previous researchers have made impressive strides in developing algorithms and solution
methodologies to address multi-objective optimization (MOO) problems in industrial …
methodologies to address multi-objective optimization (MOO) problems in industrial …
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
A review of clustering techniques and developments
This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …
developments made at various times. Clustering is defined as an unsupervised learning …
Multi-objective gflownets
M Jain, SC Raparthy… - International …, 2023 - proceedings.mlr.press
We study the problem of generating diverse candidates in the context of Multi-Objective
Optimization. In many applications of machine learning such as drug discovery and material …
Optimization. In many applications of machine learning such as drug discovery and material …
Recent applications of machine learning in alloy design: A review
The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
Weight agnostic neural networks
Not all neural network architectures are created equal, some perform much better than
others for certain tasks. But how important are the weight parameters of a neural network …
others for certain tasks. But how important are the weight parameters of a neural network …