ArticleArchives of computational methods in engineering : state of the art reviews2023
Advances in Sparrow Search Algorithm: A Comprehensive Survey.
Article in Archives of computational methods in engineering : state of the art reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- An artificial intelligence and numerical simulation-based strategy for multi-objective optimization of hemodynamics in curved vessels.Physical and engineering sciences in medicine · 2026Article
- Near-Infrared Spectroscopy Non-Destructive Detection Modeling for Starch Content in Kernels of 58 Rainfed Corn Varieties.Foods (Basel, Switzerland) · 2026Article
- Enhanced Multi-Strategy Improved Animated Oat Optimization Algorithm and Its Engineering Application.Biomimetics (Basel, Switzerland) · 2026Article
- A Multi-Hop Cluster Routing Algorithm for Wireless Sensor Networks Targeting Narrow Space Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Chaos-Integrated Difference-Enhanced Greater Cane Rat Algorithm and Its Application.Biomimetics (Basel, Switzerland) · 2026Article
- Time-optimal trajectory planning algorithm for robotic arms based on ADFMSSA chaotic optimization.Scientific reports · 2026Article
- Bioinspired Spatio-Temporal Cooperative Path Planning for Heterogeneous UAVs Driven by Bi-Level Games: An SSA-MPC Fusion Approach.Biomimetics (Basel, Switzerland) · 2026Article
- Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework.Scientific reports · 2026Article
- A sparrow search algorithm-optimized LSTM framework with EMD denoising for rolling element bearing remaining useful life prediction.Scientific reports · 2026Article
- Energy efficient clustering protocol in wireless sensor networks using an adaptive hybrid optimization algorithm.Scientific reports · 2026Article
- Black-Winged Kite Algorithm Integrating Opposition-Based Learning and Quasi-Newton Strategy.Biomimetics (Basel, Switzerland) · 2026Article
- An Improved Red-Billed Blue Magpie Optimization for Function Optimization and Engineering Problems.Biomimetics (Basel, Switzerland) · 2026Article
- AHCSIS: adaptive evaluation model for stereoscopic visual comfort based on HHT-CSP-SSA and improved SNN.Frontiers in neuroscience · 2026Article
- IHBOFS: A Biomimetics-Inspired Hybrid Breeding Optimization Algorithm for High-Dimensional Feature Selection.Biomimetics (Basel, Switzerland) · 2025Article
- An Improved Crested Porcupine Optimization Algorithm Incorporating Butterfly Search and Triangular Walk Strategies.Biomimetics (Basel, Switzerland) · 2025Article
- Gas concentration prediction based on SSA algorithm with CNN-BiLSTM-attention.Scientific reports · 2025Article
- Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification.Scientific reports · 2025Article
- High-Accuracy Lower-Limb Intent Recognition: A KPCA-ISSA-SVM Approach with sEMG-IMU Sensor Fusion.Biomimetics (Basel, Switzerland) · 2025Article
- Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm.Scientific reports · 2025Article
- Sharpbelly Fish Optimization Algorithm: A Bio-Inspired Metaheuristic for Complex Engineering.Biomimetics (Basel, Switzerland) · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural behaviours or occurrences and provide benefits such as simplicity of execution, a few parameters, avoidance of local optimization, and flexibility. Many meta-heuristic algorithms have been introduced to solve optimization issues, each of which has advantages and disadvantages. Studies and research on presented meta-heuristic algorithms in prestigious journals showed they had good performance in solving hybrid, improved and mutated problems. This paper reviews the sparrow search algorithm (SSA), one of the new and robust algorithms for solving optimization problems. This paper covers all the SSA literature on variants, improvement, hybridization, and optimization. According to studies, the use of SSA in the mentioned areas has been equal to 32%, 36%, 4%, and 28%, respectively. The highest percentage belongs to Improved, which has been analyzed by three subsections: Meat-Heuristics, artificial neural networks, and Deep Learning.
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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.