Home ›
Entities
› academia
› An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems
An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems
Research article (Mathematics, 2023) · cited 10× · AI/ML
An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems
Summary
An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems is a scholarly article[1].
Key Facts
An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-hybrid-multi-objective-optimization-method-coupling-global-evolutionary-and-local-gradient-searches-for-sol
MLA“An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-hybrid-multi-objective-optimization-method-coupling-global-evolutionary-and-local-gradient-searches-for-sol.
BibTeX@misc{4ortxyz_an-efficient-hybrid-multi-objective-optimization-method-coupling-global-evolutionary-and-local-gradient-searches-for-sol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-hybrid-multi-objective-optimization-method-coupling-global-evolutionary-and-local-gradient-searches-for-sol}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems — https://4ort.xyz/entity/an-efficient-hybrid-multi-objective-optimization-method-coupling-global-evolutionary-and-local-gradient-searches-for-sol (retrieved 2026-05-24)
