[Retracted] A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection
S Pervaiz, Z Ul-Qayyum, WH Bangyal… - … Methods in Medicine, 2021 - Wiley Online Library
Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …
of machines that operate like humans. In the field of AI, medical disease detection is an …
Hybridizing salp swarm algorithm with particle swarm optimization algorithm for recent optimization functions
The salp swarm algorithm (SSA) has shown its fast search speed in several challenging
problems. Research shows that not every nature-inspired approach is suitable for all …
problems. Research shows that not every nature-inspired approach is suitable for all …
A novel hybrid gravitational search particle swarm optimization algorithm
Abstract Particle Swarm Optimization (PSO) algorithm is a member of the swarm
computational family and widely used for solving nonlinear optimization problems. But, it …
computational family and widely used for solving nonlinear optimization problems. But, it …
A new fusion of salp swarm with sine cosine for optimization of non-linear functions
The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
[HTML][HTML] A new hybrid whale optimizer algorithm with mean strategy of grey wolf optimizer for global optimization
The quest for an efficient nature-inspired optimization technique has continued over the last
few decades. In this paper, a hybrid nature-inspired optimization technique has been …
few decades. In this paper, a hybrid nature-inspired optimization technique has been …
Chaos-based optimal path planning of humanoid robot using hybridized regression-gravity search algorithm in static and dynamic terrains
DR Parhi - Applied Soft Computing, 2023 - Elsevier
The present work deals with the navigational analysis of humanoids in complex terrains by
tuning the classical approach with reactive techniques. Here, the linear regression (LR) …
tuning the classical approach with reactive techniques. Here, the linear regression (LR) …
[HTML][HTML] An enhanced version of Harris Hawks optimization by dimension learning-based hunting for breast cancer detection
Swarm intelligence techniques have a vast range of real world applications. Some
applications are in the domain of medical data mining where, main attention is on structure …
applications are in the domain of medical data mining where, main attention is on structure …
Hybridizing sine–cosine algorithm with harmony search strategy for optimization design problems
Recent developments designate the quick growing of optimization meta-heuristics in the
domain of optimization. Sine–cosine optimizer is a stochastic technique that generates …
domain of optimization. Sine–cosine optimizer is a stochastic technique that generates …
A modified variant of grey wolf optimizer
N Singh - Scientia Iranica, 2020 - scientiairanica.sharif.edu
The original version of Grey Wolf Optimization (GWO) algorithm has small number of
disadvantages of low solving accuracy, bad local searching ability and slow convergence …
disadvantages of low solving accuracy, bad local searching ability and slow convergence …
A novel Archimedes optimization algorithm with levy flight for designing microstrip patch antenna
R Singh, R Kaur - Arabian Journal for Science and Engineering, 2022 - Springer
The Archimedes optimization algorithm (AOA) based on the principle of upward force on an
object, partially or completely submerged in a liquid, in proportion to the weight of the …
object, partially or completely submerged in a liquid, in proportion to the weight of the …