Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Appointment scheduling in health care: Challenges and opportunities

D Gupta, B Denton - IIE transactions, 2008 - Taylor & Francis
Appointment scheduling systems are used by primary and specialty care clinics to manage
access to service providers, as well as by hospitals to schedule elective surgeries. Many …

[HTML][HTML] Empowering and engaging industrial workers with Operator 4.0 solutions

E Kaasinen, F Schmalfuß, C Özturk, S Aromaa… - Computers & Industrial …, 2020 - Elsevier
Industry 4.0 has potential for qualitative enrichment of factory work: a more interesting
working environment, greater autonomy and opportunities for self-development. A central …

Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach

M Sajid, H Mittal, S Pare, M Prasad - Applied Soft Computing, 2022 - Elsevier
This paper proposes a joint-optimization framework for UAV-routing and UAV-route
scheduling problems associated with the UAV-assisted delivery system. The mixed-integer …

Rammer: Enabling holistic deep learning compiler optimizations with {rTasks}

L Ma, Z **e, Z Yang, J Xue, Y Miao, W Cui… - … USENIX Symposium on …, 2020 - usenix.org
Performing Deep Neural Network (DNN) computation on hardware accelerators efficiently is
challenging. Existing DNN frameworks and compilers often treat the DNN operators in a …

[KİTAP][B] Scheduling

ML Pinedo - 2012 - Springer
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

M Ɖurasević, D Jakobović - Artificial Intelligence Review, 2023 - Springer
Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

Machine learning in real-time Internet of Things (IoT) systems: A survey

J Bian, A Al Arafat, H **ong, J Li, L Li… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …

Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem

L Feng, Y Huang, L Zhou, J Zhong… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Recently, evolutionary multitasking (EMT) has been proposed in the field of evolutionary
computation as a new search paradigm, for solving multiple optimization tasks …

[KİTAP][B] The algorithm design manual

SS Skiena - 2008 - Springer
This newly expanded and updated second edition of the best-selling classic continues to
take the" mystery" out of designing algorithms, and analyzing their efficacy and efficiency …