ReviewSensors (Basel, Switzerland)2023
Bio-Inspired Optimization-Based Path Planning Algorithms in Unmanned Aerial Vehicles: A Survey.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Integrated Trajectory Planning, MEC Offloading, and Safety Coordination for Multi-UAV Disaster Response.Sensors (Basel, Switzerland) · 2026Article
- An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges.MethodsX · 2026Review
- Neural Surrogate-Enhanced Metaheuristic Optimization for Distributed Quadrotor Swarm Control.Sensors (Basel, Switzerland) · 2026Article
- Multi-Head Attention Deep Q-Network with Prioritized Experience Replay for UAV Path Planning in Dynamic Environments: A Bio-Inspired Approach.Biomimetics (Basel, Switzerland) · 2026Article
- Topological Progress Potential-Enhanced Continuous-Space Ant Colony Algorithm for Robot Path Planning.Sensors (Basel, Switzerland) · 2026Article
- PPO-Based Reinforcement Learning Control of a Flapping-Wing Robot with a Bio-Inspired Sensing and Actuation Feather Unit.Sensors (Basel, Switzerland) · 2026Article
- EBBO: A Biomimetically Enhanced Optimization Algorithm with Multi-Stage Cooperation for Complex Engineering Applications.Biomimetics (Basel, Switzerland) · 2026Article
- A bio-inspired swarm UAV framework integrating thermal sensing and optimization-based coordination for efficient search and rescue operations.Scientific reports · 2025Article
- Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior.Scientific reports · 2025Article
- Research on Path Planning Method for Mobile Platforms Based on Hybrid Swarm Intelligence Algorithms in Multi-Dimensional Environments.Biomimetics (Basel, Switzerland) · 2025Article
- Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2025Article
- Reynolds rules in swarm fly behavior based on KAN transformer tracking method.Scientific reports · 2025Article
- A Robust Routing Protocol in Cognitive Unmanned Aerial Vehicular Networks.Sensors (Basel, Switzerland) · 2024Article
- Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Advancements in electronics and software have enabled the rapid development of unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of UAVs allows for flexible deployment of networks, it introduces challenges regarding throughput, delay, cost, and energy. Therefore, path planning is an important aspect of UAV communications. Bio-inspired algorithms rely on the inspiration and principles of the biological evolution of nature to achieve robust survival techniques. However, the issues have many nonlinear constraints, which pose a number of problems such as time restrictions and high dimensionality. Recent trends tend to employ bio-inspired optimization algorithms, which are a potential method for handling difficult optimization problems, to address the issues associated with standard optimization algorithms. Focusing on these points, we investigate various bio-inspired algorithms for UAV path planning over the past decade. To the best of our knowledge, no survey on existing bio-inspired algorithms for UAV path planning has been reported in the literature. In this study, we investigate the prevailing bio-inspired algorithms extensively from the perspective of key features, working principles, advantages, and limitations. Subsequently, path planning algorithms are compared with each other in terms of their major features, characteristics, and performance factors. Furthermore, the challenges and future research trends in UAV path planning are summarized and discussed.
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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.