Results 161 to 170 of about 14,397 (225)

Multi-task scheduling of self-driving laboratories under scientific constraints. [PDF]

Chem Sci
Zhou J, Ge L, Li X, Guo L, Chen L, Jiang J, Shang W.   +6 more
europepmc   +1 more source

A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm. [PDF]

PLoS One
Akram K, Bhutta MU, Butt SI, Rizwan M, Khan MS, Khan M, Khan A.   +6 more
europepmc   +1 more source

LITO: Lemur-Inspired Task Offloading for Edge-Fog-Cloud Continuum Systems. [PDF]

Sensors (Basel)
Almulifi A, Kurdi H.
europepmc   +1 more source

Priority-Aware Multi-Objective Task Scheduling in Fog Computing Using Simulated Annealing. [PDF]

Sensors (Basel)
Mangalampalli SS, Reddy PV, Reddy Karri G, Tippani G, Kota H.   +4 more
europepmc   +1 more source

CRFTS: a cluster-centric and reservation-based fault-tolerant scheduling strategy to enhance QoS in cloud computing. [PDF]

Sci Rep
Mushtaq SU, Sheikh S, Nain A, Bharany S, Ghoniem RM, Taye BM.   +5 more
europepmc   +1 more source

Dynamic chain for scheduling of the multi-AGV systems with load-aware motion profiling. [PDF]

Sci Rep
Nguyen TP, Nguyen H, Phan DM, Ngo HQT.
europepmc   +1 more source

Collaborative optimization of layout and cutting scheduling for large-scale customized metal structural parts. [PDF]

Sci Rep
Meng R, Wang J, Xiang C, Du X, Zeng W, Jiang C, Wu Z, Guan F.   +7 more
europepmc   +1 more source

Multi-objective scheduling optimization for linear megaprojects considering technological innovation. [PDF]

Sci Rep
Zhao X, Lu R.
europepmc   +1 more source

Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]

Sci Rep
Zhang W, Ou H.
europepmc   +1 more source

Dynamic-opposite learning enhanced meta-heuristic approach for solving multiple industrial optimization problems. [PDF]

Sci Rep
Wu H, Li L, Wang G, Yang Z, Shi B.
europepmc   +1 more source