ArticleArtificial intelligence review2021
A comprehensive survey of sine cosine algorithm: variants and applications.
Article in Artificial intelligence review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed.
- An enhanced adaptive elephant herding optimization based on hybrid cuckoo search algorithm and elite opposition-based learning.Scientific reports · 2026Article
- Improved chaos-enhanced FOX for clustering-based supervised medical classification.Scientific reports · 2026Article
- Multi-Strategy Improved Red-Billed Blue Magpie Optimization Algorithm and Its Engineering Applications.Biomimetics (Basel, Switzerland) · 2026Article
- Arithmetic optimization algorithm based PID control for reduced order motorized wheelchairs with real time MIL SIL PIL validation.Scientific reports · 2026Article
- An Improved Red-Billed Blue Magpie Optimization for Function Optimization and Engineering Problems.Biomimetics (Basel, Switzerland) · 2026Article
- A synergistic enhancement of the Ivy algorithm for GAN-based imbalanced classification.Scientific reports · 2025Article
- An Improved Black-Winged Kite Algorithm for Global Optimization and Fault Detection.Biomimetics (Basel, Switzerland) · 2025Article
- Predictive analysis of concrete tensile strength using metaheuristic algorithms helping a neural network.Scientific reports · 2025Article
- Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems.Scientific reports · 2025Article
- Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance.Scientific reports · 2025Article
- Predator crow search optimization with explainable AI for cardiac vascular disease classification.Scientific reports · 2025Article
- Flower fertilization optimization algorithm with application to adaptive controllers.Scientific reports · 2025Article
- A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems.Scientific reports · 2025Article
- Uncovering the stochastic dynamics of solitons of the Chaffee-Infante equation.Scientific reports · 2024Article
- Article
- AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans.Scientific reports · 2024Article
- Multi-Strategy Improved Dung Beetle Optimization Algorithm and Its Applications.Biomimetics (Basel, Switzerland) · 2024Article
- A Multi-Objective Optimization Problem Solving Method Based on Improved Golden Jackal Optimization Algorithm and Its Application.Biomimetics (Basel, Switzerland) · 2024Article
- Hybrid cheetah particle swarm optimization based optimal hierarchical control of multiple microgrids.Scientific reports · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.