A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem
Summary
A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem is a scholarly article[1].
Key Facts
A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem'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). A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-dual-population-genetic-algorithm-with-q-learning-for-multi-objective-distributed-hybrid-flow-shop-scheduling-problem
BibTeX@misc{4ortxyz_a-dual-population-genetic-algorithm-with-q-learning-for-multi-objective-distributed-hybrid-flow-shop-scheduling-problem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem}}, year = {2026}, url = {https://4ort.xyz/entity/a-dual-population-genetic-algorithm-with-q-learning-for-multi-objective-distributed-hybrid-flow-shop-scheduling-problem}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Dual-Population Genetic Algorithm with Q-Learning for Multi-Objective Distributed Hybrid Flow Shop Scheduling Problem — https://4ort.xyz/entity/a-dual-population-genetic-algorithm-with-q-learning-for-multi-objective-distributed-hybrid-flow-shop-scheduling-problem (retrieved 2026-05-24)