ArticleBiomimetics (Basel, Switzerland)2023
Bio-Inspired Swarm Intelligence Optimization Algorithm-Aided Hybrid TDOA/AOA-Based Localization.
Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.BMC medical informatics and decision making · 2026Article
- A Two-Stage Framework for Sensor Selection and Geolocation for eVTOL Emergency Localization Using HF Skywaves.Sensors (Basel, Switzerland) · 2025Article
- A Hybrid Positioning Framework for Large-Scale Three-Dimensional IoT Environments.Sensors (Basel, Switzerland) · 2025Article
- Improved Zebra Optimization Algorithm with Multi Strategy Fusion and Its Application in Robot Path Planning.Biomimetics (Basel, Switzerland) · 2025Article
- Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications.PloS one · 2025Article
- Heuristic Optimization Algorithm of Black-Winged Kite Fused with Osprey and Its Engineering Application.Biomimetics (Basel, Switzerland) · 2024Article
- Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications.Biomimetics (Basel, Switzerland) · 2024Article
- FOX Optimization Algorithm Based on Adaptive Spiral Flight and Multi-Strategy Fusion.Biomimetics (Basel, Switzerland) · 2024Article
- A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems.Scientific reports · 2024Article
- Path Planning of Unmanned Aerial Vehicles Based on an Improved Bio-Inspired Tuna Swarm Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2024Article
- Solving Engineering Optimization Problems Based on Multi-Strategy Particle Swarm Optimization Hybrid Dandelion Optimization Algorithm.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
- Gorilla optimization algorithm combining sine cosine and cauchy variations and its engineering applications.Scientific reports · 2024Article
- Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems.Scientific reports · 2024Article
- Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions.Biomimetics (Basel, Switzerland) · 2023Review
- Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification.Biomimetics (Basel, Switzerland) · 2023Article
- Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization.Biomimetics (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A TDOA/AOA hybrid location algorithm based on the crow search algorithm optimized by particle swarm optimization is proposed to address the challenge of solving the nonlinear equation of time of arrival (TDOA/AOA) location in the non-line-of-sight (NLoS) environment. This algorithm keeps its optimization mechanism on the basis of enhancing the performance of the original algorithm. To obtain a better fitness value throughout the optimization process and increase the algorithm's optimization accuracy, the fitness function based on maximum likelihood estimation is modified. In order to speed up algorithm convergence and decrease needless global search without compromising population diversity, an initial solution is simultaneously added to the starting population location. Simulation findings demonstrate that the suggested method outperforms the TDOA/AOA algorithm and other comparable algorithms, including Taylor, Chan, PSO, CPSO, and basic CSA algorithms. The approach performs well in terms of robustness, convergence speed, and node positioning accuracy.
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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.