Combine Harvest Scheduling Program for Rough Rice using Max-coverage Algorithm
نویسندگان
چکیده
منابع مشابه
Improved Max-Min Scheduling Algorithm
In this research paper, additional constrains have been considered to progress a holistic analysis based algorithm based on Max-Min algorithm, which work on principle of sorting jobs(cloudlets) based on completion time of cloudlets. The improved algorithms here also reviews the job characteristics in method of size, pattern, payload ratio and available storage blocks in particular cluster of co...
متن کاملOptimizing Workflow Scheduling using Max-Min Algorithm in Cloud Environment
With the up rise of fourth paradigm, that is discovery of science over a prolonged period of time, scientific workflows commence to amend their status amongst innumerous science subject areas including physics, astronomy, biology, chemistry, earthquake science and many more. In Scientific workflows, a heavy volume of data processing is required and workflows with up to a few million tasks are n...
متن کاملAn R || C max Quantum Scheduling Algorithm
Many scheduling problems are NP− hard on classical computers. Using quantum parallelism and entanglement, a quantum schedule algorithm may be able to lead to an exponential improvement. The algorithm presented in this paper constructs a superposition of all schedules and a superposition of their makespans and then amplifies the one that corresponds to the solution. We perform O( √ 2) Grover ite...
متن کاملEffects of Rough Rice Moisture Content at Harvest on Peak Viscosity1
The effects of rice harvest moisture content (HMC) on pasting properties were investigated. One medium-grain and nine long-grain rice varieties were plot combine harvested at different intervals from three locations in 2002. Rough rice samples were dried and milled under controlled conditions, the head rice yield was recorded, and the rice flour was analyzed for pasting properties. The peak vis...
متن کاملMultiple Solution Harvest Scheduling
Application of the Metropolis algorithm for forest harvest scheduling is extended by automating the relative weighting of objective function components. Previous applications of the Metropolis algorithm require the user to specify these weights, which demands substantial trial and error in practice. This modification allows for general incorporation of objective function components that are eit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biosystems Engineering
سال: 2013
ISSN: 1738-1266
DOI: 10.5307/jbe.2013.38.1.018