Dispatching rules are simple but efficient heuristics to solve multi-objective job shop scheduling problems, particularly useful to face the challenges of dynamic shop environments. A promising method to automatically evolve such rules represents genetic programming based hyper-heuristic...

This paper proposes a three-stage bi-level stochastic programming approach for a virtual power plant (VPP) scheduling in energy, reserve, and intraday demand response exchange (IDRX) markets. The VPP comprises a wind power provider (WPP), several conventional power plants (CPPs), and responsive...

This paper studies the bicriteria problem of scheduling n jobs on an unbounded parallel-batch machine. The goal is to minimize makespan and maximum cost simultaneously. When the jobs have arbitrary processing times and equal release dates, we obtain an O ( n 3 )-time algorithm, improving the...

Many existing papers on the topic of smart grids work on scheduling of appliances considering an unlimited energy supply. However, the size of the power grid necessary to operate on periods of peak demand of the day would be large, and that would not be exploited during most of the day. Because...

Cloud-RAN is a recent architecture for mobile networks where the processing units are located indistant data centers while, until now, they were attached to antennas. The main challenge, to fulfillprotocol constraints, is to guarantee low latency for the periodic messages sent from each antenna...

We study the threshold between avoidable and unavoidable repetitions in infinite balanced sequences over finite alphabets. The conjecture stated by Rampersad, Shallit and Vandomme says that the minimal critical exponent of balanced sequences over the alphabet of size d greater than or equal to 5...

The increasing population, water scarcity, and labor cost demand more high-yield, water-saving, and efficient maize production. Grain mechanical harvesting, the quality of which is mainly influenced by grain moisture content, can improve the efficiency and decrease the harvest cost of maize...

Non-mulch planting technology is an effective mean to solve the residual plastic mulch pollution in cotton (Gossypium hirsutum L.) fields in southern Xinjiang. The impacts of irrigation management on the growth development and yield of non-mulch cotton were quantitatively evaluating by employing...

This research proposed an optimization method using a solution technique based on two well-known techniques, differential evolution and particle swarm optimization, to tackle a multi-visit and multi-period workforce scheduling and routing problem in field service operation of a sugarcane mill...

When offshore-island renewable distribution system (OIRDS) encounters multiple failures in case of extreme weather, battery charging-swapping system (BCSS) is a promising solution to reduce the power outage loss and enhance resilience of the OIRDS. However, extreme weather (such as heavy rain)...