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Biology and Medical Engineering
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Analysis of PSO Algorithm and GA

descriptionPublicationkeyboard_double_arrow_right Article 15 Nov 2025Publisher:Wisdom Academic PublishingJournal:Biology and Medical Engineering, volume 1, pages 1-14 (issn: 3080-7204, eissn: 3080-7212, Copyright policy )
Authors: Chen Lin; Shen Mengmeng;

doi: 10.63808/bme.v1i3.146

Analysis of PSO Algorithm and GA

Abstract

Particle Swarm Optimization (PSO) and Genetic algorithm (GA) are widely used in real life and are constantly improved and integrated. Both of them have their own advantages in different fields. Both of them have their own advantages in different fields. It performs exceptionally well in solving complex nonlinear problems. This article will conduct a systematic analysis from the perspectives of algorithm principles, performance comparison, and application scenarios, and also explore the future development trends by combining real-world cases.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid