Applications of flower pollination algorithm in electrical power systems: a review
S Lalljith, I Fleming, U Pillay, K Naicker… - IEEE …, 2021 - ieeexplore.ieee.org
The use of metaheuristic, nature inspired algorithms for solving complex optimization
problems with non-linearity and multimodality, has become a popular tool in the field of …
problems with non-linearity and multimodality, has become a popular tool in the field of …
Blister defect detection based on convolutional neural network for polymer lithium-ion battery
L Ma, W **e, Y Zhang - Applied Sciences, 2019 - mdpi.com
To ensure the quality and reliability of polymer lithium-ion battery (PLB), automatic blister
defect detection instead of manual detection is developed in the production of PLB cell …
defect detection instead of manual detection is developed in the production of PLB cell …
Flower pollination global peak search algorithm for partially shaded solar photovoltaic system
Photovoltaic (PV) systems are required to function at their maximum power point (MPP) to
fully utilize solar energy. Solar PV panels are configured with maximum power point tracking …
fully utilize solar energy. Solar PV panels are configured with maximum power point tracking …
Extracting optimized bio-impedance model parameters using different topologies of oscillators
This paper demonstrates the possibility of extracting the single-dispersion and double-
dispersion Cole-bio-impedance model parameters using oscillators (sinusoidal or …
dispersion Cole-bio-impedance model parameters using oscillators (sinusoidal or …
[PDF][PDF] Multimodal optimization using whale optimization algorithm enhanced with local search and niching technique
H Li, P Zou, Z Huang, C Zeng, X Liu - Mathematical Biosciences …, 2020 - researchgate.net
For some real-world problems, it is desirable to find multiple global optima as many as
possible. The multimodal optimization approach which finds multiple optima in a single run …
possible. The multimodal optimization approach which finds multiple optima in a single run …
A multi-modal bacterial foraging optimization algorithm
In recent years, multi-modal optimization algorithms have attracted considerable attention,
largely because many real-world problems have more than one solution. Multi-modal …
largely because many real-world problems have more than one solution. Multi-modal …
A multimodal butterfly optimization using fitness-distance balance
Due to the multimodal nature of real-world optimization problems, in recent years, there has
been a great interest in multi-modal optimization algorithms. Multimodal optimization …
been a great interest in multi-modal optimization algorithms. Multimodal optimization …
Hybrid Mutualism Mechanism-Inspired Butterfly and Flower Pollination Optimization Algorithm for Lifetime Improving Energy‐Efficient Cluster Head Selection in WSNs
Rapid advancement of technologies in Wireless Sensor Networks is attracting maximized
attention across the scientific community due to its suitability and diversified coverage in real …
attention across the scientific community due to its suitability and diversified coverage in real …
A robust multimodal optimization algorithm based on a sub-division surrogate model and an improved sampling method
The characteristics analysis of an electric machine requires the finite-element method.
Hence, a large amount of computation occurs in the design process to take into account …
Hence, a large amount of computation occurs in the design process to take into account …
A modified firefly algorithm for the inverse kinematics solutions of robotic manipulators
The inverse kinematics of robotic manipulators consists of finding a joint configuration to
reach a desired end-effector pose. Since inverse kinematics is a complex non-linear …
reach a desired end-effector pose. Since inverse kinematics is a complex non-linear …