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Operating room scheduling under waiting time constraints: the Chilean GES plan
(Springer, 2020)
In 2000, Chile introduced profound health reforms to achieve a more equitable and fairer system (GES plan). The reforms established a maximum waiting time between diagnosis and treatment for a set of diseases, described ...
Fixed-Parameter approximation schemes for weighted flowtime
(Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018)
Given a set of n jobs with integral release dates, processing times and weights, it is a natural and
important scheduling problem to compute a schedule that minimizes the sum of the weighted flow
times of the jobs. There ...
A QPTAS for the general scheduling problem with identical release dates
(Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2017)
The General Scheduling Problem (GSP) generalizes scheduling problems with sum of cost objectives
such as weighted flow time and weighted tardiness. Given a set of jobs with processing
times, release dates, and job dependent ...
Artificial intelligence-based Kubernetes container for scheduling nodes of energy composition
(International Journal of Systems Assurance Engineering and Management, 2021)
Load Balancing Distributed Inverted Files: Query Ranking
(2008)
Search engines use inverted files as index data structures
to speed up the solution of user queries. The index is distributed
on a set of processors forming a cluster of computers
and queries are received by a broker ...
A dispatching-fuzzy ahp-topsis model for scheduling flexible job-shop systems in industry 4.0 context
(Corporación Universidad de la Costa, 2021)
Soft-computing approaches for rescheduling problems in a manufacturing industry
(Corporación Universidad de la Costa, 2021)
Operation scheduling in a solar thermal system: A reinforcement learning-based framework
(Elsevier, 2020)
Reinforcement learning (RL) provides an alternative method for designing condition-based decision making in engineering systems. In this study, a simple and flexible RL tabular Q-learning framework is employed to identify ...