Home ›
Entities
› academia
› Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm
Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm
Research article (IEEE Access, 2021) · cited 17× · AI/ML
Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm
Summary
Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm is a scholarly article[1].
Key Facts
Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm'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). Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-research-for-multiobjective-low-carbon-flexible-job-shop-scheduling-problem-based-on-hybrid-artificial-bee-c
MLA“Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-research-for-multiobjective-low-carbon-flexible-job-shop-scheduling-problem-based-on-hybrid-artificial-bee-c.
BibTeX@misc{4ortxyz_application-research-for-multiobjective-low-carbon-flexible-job-shop-scheduling-problem-based-on-hybrid-artificial-bee-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/application-research-for-multiobjective-low-carbon-flexible-job-shop-scheduling-problem-based-on-hybrid-artificial-bee-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm — https://4ort.xyz/entity/application-research-for-multiobjective-low-carbon-flexible-job-shop-scheduling-problem-based-on-hybrid-artificial-bee-c (retrieved 2026-05-24)