Salp swarm algorithm: a comprehensive survey
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
[HTML][HTML] A comprehensive survey of sine cosine algorithm: variants and applications
AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
Sarcasm detection using soft attention-based bidirectional long short-term memory model with convolution network
A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …
and social networks, with the aim of understanding, discovering insights, and exploiting the …
Artificial neural network training using metaheuristics for medical data classification: an experimental study
Abstract The Artificial Neural Network (ANN) is an important machine learning tool used in
medical data classification for disease diagnosis. The learning algorithm in ANN training …
medical data classification for disease diagnosis. The learning algorithm in ANN training …
A novel version of slime mould algorithm for global optimization and real world engineering problems: Enhanced slime mould algorithm
The slime mould algorithm is a stochastic optimization algorithm based on the oscillation
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach
The integration of photovoltaic systems (PVSs) in future power systems grows into a more
attractive choice. Thus, the studies related to PVSs operation have gained immense interest …
attractive choice. Thus, the studies related to PVSs operation have gained immense interest …
A new fusion of ASO with SA algorithm and its applications to MLP training and DC motor speed control
An improved version of atom search optimization (ASO) algorithm is proposed in this paper.
The search capability of ASO was improved by using simulated annealing (SA) algorithm as …
The search capability of ASO was improved by using simulated annealing (SA) algorithm as …
A novel and comprehensive trust estimation clustering based approach for large scale wireless sensor networks
With the wide applications of wireless sensor networks (WSNs) in various fields, such as
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust …
A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle global
optimization and determine the optimal threshold values for multi-level image segmentation …
optimization and determine the optimal threshold values for multi-level image segmentation …
Self-adaptive salp swarm algorithm for engineering optimization problems
Salp swarm algorithm is a recent introduction in the field of swarm intelligent algorithms and
has proved its worth over various research domains. Though it is a competitive algorithm but …
has proved its worth over various research domains. Though it is a competitive algorithm but …