Boosting particle swarm optimization by backtracking search algorithm for optimization problems
Adjusting the search behaviors of swarm-based algorithms during their execution is a
fundamental errand for addressing real-world global optimizing challenges. Along this line …
fundamental errand for addressing real-world global optimizing challenges. Along this line …
Review of medical image processing using quantum-enabled algorithms
Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …
for accurate diagnosis, treatment, and management of various diseases. Since quantum …
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …
algorithm based on the moth's movement towards the moon. Premature convergence and …
Modified-improved fitness dependent optimizer for complex and engineering problems
Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
A comprehensive survey of artificial intelligence-based techniques for performance enhancement of solid oxide fuel cells: Test cases with debates
Since installing solid oxide fuel cells (SOFCs)-based systems suffers from high expenses,
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …
accurate and reliable modeling is heavily demanded to detect any design issue prior to the …
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …
Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
J Wang, W Wang, X Hu, L Qiu, H Zang - Artificial Intelligence Review, 2024 - Springer
This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …
computing paradigm. With the use of such resources come certain challenges that can …
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images
S Hao, C Huang, AA Heidari, Z Xu, H Chen… - … Signal Processing and …, 2023 - Elsevier
Since the outbreak of COVID-19, it has seriously endangered the health of human beings.
Computer automatic segmentation of COVID-19 X-ray images is an important means to …
Computer automatic segmentation of COVID-19 X-ray images is an important means to …
Gorilla optimization algorithm combining sine cosine and cauchy variations and its engineering applications
S Wang, L Cao, Y Chen, C Chen, Y Yue, W Zhu - Scientific Reports, 2024 - nature.com
To address the issues of lacking ability, loss of population diversity, and tendency to fall into
the local extreme value in the later stage of optimization searching, resulting in slow …
the local extreme value in the later stage of optimization searching, resulting in slow …