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A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming

Research article (Swarm and Evolutionary Computation, 2024) · cited 20× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
April 15, 2024as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Swarm and evolutionary computationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
Title
A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programmingas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4394834534as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1016/J.SWEVO.2024.101572as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 5
Haiyin Zhou, Jianmai Shi, Jiongqi Wang, Lining Xing, Zhenzu Bai
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Haiyin Zhou, Jianmai Shi, Jiongqi Wang, Lining Xing, Zhenzu Bai
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Summary

A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming is a scholarly article[1].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming. Retrieved October 20, 2026, from https://4ort.xyz/entity/a-hybrid-multi-objective-evolutionary-algorithm-with-high-solving-efficiency-for-uav-defense-programming
MLA “A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/a-hybrid-multi-objective-evolutionary-algorithm-with-high-solving-efficiency-for-uav-defense-programming.
BibTeX @misc{4ortxyz_a-hybrid-multi-objective-evolutionary-algorithm-with-high-solving-efficiency-for-uav-defense-programming_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-multi-objective-evolutionary-algorithm-with-high-solving-efficiency-for-uav-defense-programming}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming — https://4ort.xyz/entity/a-hybrid-multi-objective-evolutionary-algorithm-with-high-solving-efficiency-for-uav-defense-programming (retrieved 2026-10-20)

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