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Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
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 …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Appointment scheduling in health care: Challenges and opportunities
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 …
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
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 …
working environment, greater autonomy and opportunities for self-development. A central …
Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach
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 …
scheduling problems associated with the UAV-assisted delivery system. The mixed-integer …
Rammer: Enabling holistic deep learning compiler optimizations with {rTasks}
Performing Deep Neural Network (DNN) computation on hardware accelerators efficiently is
challenging. Existing DNN frameworks and compilers often treat the DNN operators in a …
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 …
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
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 …
application in manufacturing and production industry, transportation, workforce allocation, or …
Machine learning in real-time Internet of Things (IoT) systems: A survey
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 …
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
Recently, evolutionary multitasking (EMT) has been proposed in the field of evolutionary
computation as a new search paradigm, for solving multiple optimization tasks …
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 …
take the" mystery" out of designing algorithms, and analyzing their efficacy and efficiency …