Marine predators algorithm: A review
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
An inclusive survey on marine predators algorithm: Variants and applications
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
Threshold image segmentation based on improved sparrow search algorithm
D Wu, C Yuan - Multimedia Tools and Applications, 2022 - Springer
Threshold segmentation based on swarm intelligence optimization algorithm is a research
hotspot in image processing, because of its good segmentation effect and easy …
hotspot in image processing, because of its good segmentation effect and easy …
Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks
Many population-dependent solutions have recently been suggested. Despite their
widespread adoption in many applications, we are still researching using suggested …
widespread adoption in many applications, we are still researching using suggested …
Hybrid arithmetic optimization algorithm with hunger games search for global optimization
Recently, many population-dependent methods have been proposed. Despite their
acceptance in many applications, we are still exploring suggested methods to solve actual …
acceptance in many applications, we are still exploring suggested methods to solve actual …
Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …
optimization methods and their applications. Image segmentation is a common problem in …
Fusion of modern meta-heuristic optimization methods using arithmetic optimization algorithm for global optimization tasks
Several population-based techniques have subsequently been proposed. Despite their
broad use in a variety of applications, we are still investigating the use of proposed methods …
broad use in a variety of applications, we are still investigating the use of proposed methods …
An improved medical image synthesis approach based on marine predators algorithm and maximum gabor energy
PH Dinh - Neural Computing and Applications, 2022 - Springer
Multimodal medical image fusion has been attracting the attention of researchers in recent
years because it supports doctors in enhancing clinical diagnosis. Improving the quality of …
years because it supports doctors in enhancing clinical diagnosis. Improving the quality of …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
In this paper, we presented a long short-term memory (LSTM) network and adaptive particle
swarm optimization (PSO)-based hybrid deep learning model for forecasting the stock price …
swarm optimization (PSO)-based hybrid deep learning model for forecasting the stock price …