ArticleScientific reports2026
Secant Optimization Algorithm for efficient global optimization.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Dimension-wise adaptive snake optimizer with Sobol initialization and Lévy spiral search for solar photovoltaic cell model optimization.Scientific reports · 2026Article
- Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications.Scientific reports · 2026Article
- A novel DIO optimized sigmoid-activated 2DOF-PID controller for robust control of magnetic levitation systems.Scientific reports · 2026Article
- Parameter estimation of proton exchange membrane fuel cells using enhanced Fourier transform optimizer with adaptive learning mechanisms.Scientific reports · 2026Article
- SIFA: A two-stage adaptive ensemble framework for solar irradiance forecasting using a wrapper-based feature selection and chaotic manta ray optimization.Scientific reports · 2026Article
- GSA-YOLO enables high-efficiency real-time X-ray security inspection via structured sparsity and adaptive knowledge distillation.Scientific reports · 2026Article
- A Hybrid Nonlinear Greater Cane Rat Algorithm with Teaching-Learning-Based Optimization for Global Optimization and Constrained Engineering Applications.Biomimetics (Basel, Switzerland) · 2026Article
- Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA).Scientific reports · 2026Article
- Structured vital sign prediction in hospital environments via an Al-Biruni earth radius optimization-driven unified metaheuristic framework.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents the Secant Optimization Algorithm (SOA), a novel mathematics-inspired metaheuristic derived from the Secant Method. SOA enhances search efficiency by repeating vector updates using local information and derivative approximations in two steps: secant-based updates for enabling guided convergence and stochastic sampling with an expansion factor for enabling global search and escaping local optima. The algorithm’s performance was verified on a set of benchmark functions, from low- to high-dimensional nonlinear optimization problems, such as the CEC2021 and CEC2020 test suites. In addition, SOA was used for solving real-world applications, such as convolutional neural network hyperparameter tuning on four datasets: MNIST, MNIST-RD, Convex, and Rectangle-I, and parameter estimation of photovoltaic (PV) systems. The competitive performance of SOA, in the form of high convergence rates and higher solution accuracy, is confirmed using comparison analyses with leading algorithms within the field. Moreover, statistical tests and convergence trajectories confirm SOA’s robustness and flexibility, rendering it an effective tool in resolving challenging machine learning and engineering optimization complications. The source code is available at https://github.com/MohammedQaraad/SOA .
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.