ArticleSensors (Basel, Switzerland)2022
Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 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
112 citing papers in PubMed.
- Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation.Bioactive materials · 2027Article
- Constrained speed reducer design optimization using a novel Scuba Diver Optimization Algorithm.Scientific reports · 2026Article
- Multi-Strategy Improved Aquila Optimizer with Adaptive Exploration and Individual-Level Stagnation Control: A Bio-Inspired Hybrid Metaheuristic and Its Engineering Applications.Biomimetics (Basel, Switzerland) · 2026Article
- Hybrid Strategy Improved Horned Lizard Optimization Algorithm for Advanced Global Optimization and Engineering Applications.Biomimetics (Basel, Switzerland) · 2026Article
- Explainable AI-based optimization framework for sustainable fly ash concrete design.Scientific reports · 2026Article
- Prediction of groundwater level in shallow and complex aquifers using hybrid soft computing models and metaheuristic algorithms.Scientific reports · 2026Article
- A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning.Biomimetics (Basel, Switzerland) · 2026Article
- A blockchain-based secure data transmission framework in IoT using adaptive deep network with optimized cryptography mechanism.Scientific reports · 2026Article
- A nature-inspired osprey optimization based feature selection framework with stacking ensemble model for imbalance-aware credit card fraud detection.Scientific reports · 2026Article
- UAV Aeromagnetic Path Planning in Complex Terrain Based on a Q-Learning-Assisted Multi-Strategy Starfish Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2026Article
- DMARS_WGO: a deep reinforcement-driven hybrid metaheuristic for intelligent adaptive optimization.Scientific reports · 2026Article
- Multi-strategy enhanced black-winged kite algorithm and its engineering applications.Scientific reports · 2026Article
- A hybrid pelican-GWO optimized fractional order PID controller for enhanced performance of hybrid active power filters.Scientific reports · 2026Article
- Optimal design and operation of grid-connected hybrid microgrid system using pelican optimization algorithm.Scientific reports · 2026Article
- Medium -term monitoring and machine learning-based forecasting of drought dynamics in Iran.Scientific reports · 2026Article
- Optimized parameter estimation of solar PV models using an improved red-tailed hawk algorithm.Scientific reports · 2026Article
- A hybrid optimization and graph network for sustainable electric vehicle charging using a dual active bridge converter and renewable energy.Scientific reports · 2026Article
- Multilevel threshold image segmentation based on a novel mechanism enhanced coati optimization algorithm.Scientific reports · 2026Article
- A POA-QPSO Hybrid Algorithm for Multi-Objective Optimization of Dual-Layer Walker Constellations.Sensors (Basel, Switzerland) · 2026Article
- An improved black-winged kite algorithm for solving non-lethal kinetic strike parameters for moving targets.Scientific reports · 2026Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced. The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting. In POA, search agents are pelicans that search for food sources. The mathematical model of the POA is presented for use in solving optimization issues. The performance of POA is evaluated on twenty-three objective functions of different unimodal and multimodal types. The optimization results of unimodal functions show the high exploitation ability of POA to approach the optimal solution while the optimization results of multimodal functions indicate the high ability of POA exploration to find the main optimal area of the search space. Moreover, four engineering design issues are employed for estimating the efficacy of the POA in optimizing real-world applications. The findings of POA are compared with eight well-known metaheuristic algorithms to assess its competence in optimization. The simulation results and their analysis show that POA has a better and more competitive performance via striking a proportional balance between exploration and exploitation compared to eight competitor algorithms in providing optimal solutions for optimization problems.
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.