Results 231 to 240 of about 369,776 (290)

Hierarchical MAB Framework for Energy-Aware Beam Training for Near-Field Communications. [PDF]

Sensors (Basel)
Xiang Y, Yan Y, Song Y, Gao J, You X, Wang J, Liang H, Jiang Y.   +7 more
europepmc   +1 more source

Cooperative stochastic energy management of multi smart home microgrids joint with modern distribution network. [PDF]

Sci Rep
Shayeghi H, Mohamadi B, Younesi A, Sadr S, Siano P.   +4 more
europepmc   +1 more source

An Effective Hybrid Rescheduling Method for Wafer Chip Precision Packaging Workshops in Complex Manufacturing Environments. [PDF]

Micromachines (Basel)
Wang Z, Fang W, Yang Y.
europepmc   +1 more source

Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities. [PDF]

Sci Rep
Qi Y, Jiang H, Huang G, Wang F, Ye L.
europepmc   +1 more source

A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]

Sci Rep
Ashour M, Elsaeed A, Mesalam Y, Elshaer R.   +3 more
europepmc   +1 more source

Energy and makespan optimised task mapping in fog enabled IoT application: a hybrid approach. [PDF]

Sci Rep
Tripathy N, Sahoo S, Alghamdi NS, Viriyasitavat W, Dhiman G.   +4 more
europepmc   +1 more source

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Optimizing Shift Scheduling

2017
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Kecklund, L.G., Sallinen, M., Axelsson, J.   +2 more
openaire   +4 more sources

Asymptotically Optimal Appointment Schedules

Mathematics of Operations Research, 2019
We consider the problem of scheduling appointments for a finite customer population to a service facility with customer no-shows to minimize the sum of customer waiting time and server overtime costs. Because appointments need to be scheduled ahead of time, we refer to this problem as an optimization problem rather than a dynamic control one. We study
Mor Armony, Rami Atar, Harsha Honnappa
openaire   +2 more sources

Optimal Capacity Scheduling—I

Operations Research, 1962
Efficient algorithms are developed optimizing an important class of capacity scheduling models. The specific problem considered can be simply described in terms of contracting for warehousing capacity. Contracts must be let for warehouse capacity over n time periods, with the minimum capacity to be provided in each time period being specified. Savings
Arthur F. Veinott, Harvey M. Wagner
openaire   +1 more source