Results 61 to 70 of about 1,404 (265)
Designing Dispatching Rules to Minimize Total Tardiness [PDF]
Summary. We approximate optimal solutions to the Flexible Job-Shop Problem by using dispatching rules discovered through Genetic Programming. While Simple Priority Rules have been widely applied in practice, their efficacy remains poor due to lack of a global view. Composite Dispatching Rules have been shown to be more effective as they are constructed
Joc Cing Tay, Nhu Binh Ho
openaire +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Research on the Integrated Modes of Rail Transit Dispatching Command for Metropolitan Area
[Objective] Researches on the integrated dispatching and command modes for metropolitan area rail transit conduce to address problems in operational management coordination and linkage among different levels of rail transit systems, enhancing the ...
CAO Feng +4 more
doaj +1 more source
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga +6 more
wiley +1 more source
Embora existam muitos trabalhos que tratam do problema de programação de tarefas no ambiente flowshop flexível com o objetivo de minimizar o makespan, poucos abordam este problema envolvendo datas de entrega.
Guilherme Barroso Mainieri +1 more
doaj +1 more source
The realtime manufacturing system is subject to different kinds of disruptions such as new job arrivals, machine breakdowns, and jobs cancellation. These different disruptions affect the original schedule that should be updated to maintain the system's ...
Kaouther Ben Ali +2 more
doaj +1 more source
Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu +5 more
wiley +1 more source
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source
We found the estimated use of tiger bone glue within the last 12 months to be 6.9%. We found a stated motivation of taking TBG to improve health, and by the suggestion of one's social group. We suggest reducing the acceptability of TBG as medicine and encouraging non‐animal‐based medicinal alternatives.
Elizabeth Oneita Davis +5 more
wiley +1 more source
An Online Personal Rapid Transit Dispatching Algorithm Based on Nearest Neighbor Dispatching Rule
ABSTRACTPersonal rapid transit (PRT) is a new transportation system, which is energy efficient and brings high quality of customer service. Customers arrive dynamically at stations and request transportation service. In this paper, we propose a new online PRT dispatching algorithm for pickup and delivery of customers.
Chung-Kyun Han +5 more
openaire +2 more sources

