Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
[HTML][HTML] 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 …
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Overbreak is a detrimental phenomenon caused by tunnel blasting, which can lead to
increased time and cost in the construction schedule. It is very important to establish a model …
increased time and cost in the construction schedule. It is very important to establish a model …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
[图书][B] Swarm intelligence: foundation, principles, and engineering applications
Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
computing. This field includes multiple optimization algorithms to solve NP-hard problems …
[HTML][HTML] An efficient heap-based optimizer for parameters identification of modified photovoltaic models
The identification of parameters in solar cell models continue being an important issue in the
simulation and design of the photovoltaic systems (PV). The models commonly used are …
simulation and design of the photovoltaic systems (PV). The models commonly used are …
Improving the economic and environmental benefits of the energy system: A novel hybrid economic emission dispatch considering clean energy power uncertainty
ZF Liu, SX Zhao, SL Zhao, GD You, XX Hou, JL Yu… - Energy, 2023 - Elsevier
New energy power generation plays an important role in adjusting energy structure,
reducing environmental pollution, and promoting sustainable social development. However …
reducing environmental pollution, and promoting sustainable social development. However …
[HTML][HTML] Mtv-mfo: Multi-trial vector-based moth-flame optimization algorithm
The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …
Chaotic arithmetic optimization algorithm
XD Li, JS Wang, WK Hao, M Zhang, M Wang - Applied Intelligence, 2022 - Springer
Abstract Arithmetic Optimization Algorithm (AOA) is a meta-heuristic algorithm. Its main idea
is to use the distribution behavior of the four main mathematical operators of addition (A) …
is to use the distribution behavior of the four main mathematical operators of addition (A) …