Evidence map›Paper›PMID 36412722›Full record

ArticleBiomimetics (Basel, Switzerland)2022

Research on Logistics Distribution Center Location Based on Hybrid Beetle Antennae Search and Rain Algorithm.

Zhimin Mei, Xuexin Chi, Rui Chi

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zhimin MeiWuchang Institute of Technology Robotics Application Institute, Wuchang Institute of Technology, Wuhan 430070, China.
Xuexin ChiSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China.
Rui ChiSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The location of logistics distribution centers is a crucial issue in modern logistics distribution systems. In order to obtain a more reasonable solution, an effective optimization algorithm is essential. This paper proposes a new hybrid method, named the beetle antennae search-rain algorithm (BRA), for the problem of logistics distribution centers' location. The innovation of the BRA is embodied in three aspects. Firstly, the beetle antennae search (BAS) algorithm is embedded into the rain algorithm (RA); thus, the BAS is improved from an individual search to a swarm intelligent search and the global search ability is improved. Secondly, the search direction strategy of the BAS algorithm is incorporated into the RA, which can improve response speed while ensuring optimization performance. Finally, the search precision is improved by the mechanism of eliminating the inferior solution and generating a new solution. The BRA is tested on 10 benchmark functions and applied to solve the logistics distribution centers' location problem. The performance of the BRA is compared to that of several classical heuristics by using relevant evaluation indexes and dynamic optimization convergence graphs. Experimental results show that the BRA outperforms the BAS algorithm, the RA and some other classic heuristics. It is also revealed that the BRA is an effective and competitive algorithm for logistics distribution centers' location.

Indexed as

beetle antennae search algorithmBRAlogistics locationoptimizationrain algorithm

Identifiers

PMID36412722
PMCPMC9680237

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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.