Application of Hybrid Swarming Algorithm on a UAV Regional Logistics Distribution.

Yi Zhang, Hongda Yu

Open access · goldFull text read

In one paragraph

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 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

1.0field-weighted citation impact, top 21% of its field

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

Three-Dimensional Path Planning for UAV Based on Multi-Strategy Dream Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yi ZhangCollege of Electrical and Computer Science, Jilin Jianzhu University, Changchun 130000, China.

Hongda YuCollege of Electrical and Computer Science, Jilin Jianzhu University, Changchun 130000, China.

Jilin Jianzhu University · CN

Funding

the fund of the Science and Technology Development Project of Jilin Province No. 20220203190SF

6 · The paper itself

Abstract

This paper proposes a hybrid algorithm based on the ant colony and Physarum Polycephalum algorithms. The positive feedback mechanism is used to find the globally optimal path. The crossover and mutation operations of the genetic algorithm are introduced into the path search mechanism for the first time. The Van der Waals force is applied to the pheromone updating mechanism. Simulation results show that the improved algorithm has advantages in quality and speed of solution compared with other mainstream algorithms. This paper provides fast and accurate route methods for solving the Traveling Salesman Problem first and a delivery scheme is also presented for UAVs to realize "contactless delivery" to users in the Changchun Mingzhu District during the COVID-19 epidemic, which confirms the practicability and robustness of the algorithm.

Indexed as

COVID-19genetic algorithmPhysarum Polycephalum algorithmUAV logistics and distributionVan der Waals force

Identifiers

PMID36975326

DOI10.3390/biomimetics8010096

PMCPMC10046609

OpenAlexW4322628478

What OpenQuestion holds

Textfull text, public

LicenceCC BY

measurements read2

Read underepoch 390

Registered trials

None linked

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.