22 papers · ranked by Valyu relevance
Simon Taub, Oleg S. Pianykh, Diego Oliva
In virtually any practical field or application, discovering and implementing near-optimal decision strategies is essential for achieving desired outcomes. Workflow planning is one of the most common and important problems of this kind, as sub-optimal decision-making may create bottlenecks and delays that decrease…
Shane D. McLean, Emil Alexander Juul Hansen, Paul Pop, Silviu S. Craciunas
'Silviu S. Craciunas'] Modern Advanced Driver-Assistance Systems (ADAS) combine critical real-time and non-critical best-effort tasks and messages onto an integrated multi-core multi-SoC hardware platform. The real-time safety-critical software tasks have complex interdependencies in the form of end-to-end latency…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…
S. Mahmoodifar, P.K. Newton
We introduce a mathematical model of the cancer-immunity cycle and use it to test several hypotheses regarding the combination, timing, and optimization associated with chemotherapy and immunotherapy dosing schedules in the context of competition and selection pressure. A key conceptual idea is the value of…
Anbang Liu, Shaochong Lin, Jingchuan Chen, Peng Wu + 1 more
Scheduling problems are a fundamental class of combinatorial optimization problems that underpin operational efficiency in manufacturing, logistics, and service systems. While operations research has traditionally developed solver-centric methods emphasizing model structure and optimality, recent advances in machine…
Mohammed M. S. El-Kholany, Martin Gebser, Konstantin Schekotihin
Scheduling methods are important for effective production and logistics management, where tasks need to be allocated and performed with limited resources. In particular, the Job-shop Scheduling Problem (JSP) is a well-known and challenging combinatorial optimization problem in which tasks sharing a machine are to be…
Christopher Graser, Zhi Zhou, Manuel Schürch, Graydon Moorhead + 6 more
Lung cancer patients often experience increased metastasis formation after radiotherapy. However, it is incompletely understood whether radiation affects the migratory behavior of tumor cells and how altered radiotherapy schedules might mitigate this risk. To address these questions, we performed live-cell microscopy…
Johnathan R Lex, Aazad Abbas, Jacob Mosseri, Jay Singh Toor + 5 more
'Michael Simone' 'Bheeshma Ravi' 'Cari Whyne' 'Elias B Khalil' 'Arriel Benis'] Title: Abstract Background Total knee and hip arthroplasty (TKA and THA) are among the most performed elective procedures. Rising demand and the resource-intensive nature of these procedures have contributed to longer wait times despite…
Min Cui, Yipeng Wang
Workflow scheduling in cloud computing is attracting increasing attention. Cloud computing can assign tasks to available virtual machine resources in cloud data centers according to scheduling strategies, providing a powerful computing platform for the execution of workflow tasks. However, developing effective workflow…
Russell Jeter, Dmitrii Todorov, Yaroslav Molkov
A clinician guiding a stroke patient through a 45-minute rehabilitation session, a coach planning a training day, a teacher choosing the order of practice problems, they all face the same question: “given everything practiced so far, what should the next trial be?” The motor-learning literature offers two coarse…
Cameron Meaney, Mohammad Kohandel, Arian Novruzi
External beam radiation therapy is a key part of modern cancer treatments which uses high doses of radiation to destroy tumour cells. Despite its widespread usage and extensive study in theoretical, experimental, and clinical works, many questions still remain about how best to administer it. Many mathematical studies…
László Lindenmaier, István Ferenc Lövétei, Szilárd Aradi
—The railway timetables are designed in an optimal manner to maximize the capacity usage of the infrastructure concerning different objectives besides avoiding conflicts. The realtime railway traffic management problem occurs when the preplanned timetable cannot be fulfilled due to various disturbances; therefore, the…
Benjamin M. David, Paul A. Jensen
Coordinating multiple liquid handling robots is a complex logistical task when designing biological experiments. Protocol designers must consider the capabilities and constraints of each robot to distribute work optimally across multiple instruments. We developed an optimization framework that finds optimal liquid…
Solveig A. van der Vegt, Ruth E. Baker, Sarah L. Waters
Autoimmune myocarditis, or cardiac muscle inflammation, is a rare but frequently fatal side–effect of immune checkpoint inhibitors (ICIs), a class of cancer therapies. Despite the dangers that side-effects such as these pose to patients, they are rarely, if ever, included explicitly when mechanistic mathematical…
Marcelo Becerra-Rozas, Bady Gana, José Lara, Andres Leiva-Araos + 8 more
Optimal surgical scheduling necessitates a strategic balance between elective efficiency and responsiveness to stochastic emergency arrivals. This study evaluates a Genetic Algorithm alongside discretized variants of Particle Swarm Optimization, the Secretary Bird Optimization Algorithm, and the Mantis Shrimp…
Nodari Vakhania, Frank Werner, Kevin Johedan Ramírez-Fuentes, Víctor Pacheco-Valencia
algorithms, complexity and approximability Authors: ['Nodari Vakhania' 'Frank Werner' 'Kevin Johedan Ramírez-Fuentes' 'Víctor Pacheco-Valencia'] Since the publication of the first scheduling paper in 1954, a huge number of works dealing with different types of single machine problems appeared. They addressed many…
Authors not listed
Background: Pharmaceutical batch production faces significant scheduling challenges due to operational uncertainties including equipment failures, yield variability, and demand fluctuations. While scheduling heuristics are widely used in practice, their comparative performance under varying uncertainty conditions…
Chao Li, Jinjin Tang, Jun Zhang, Qingqing Zhao + 3 more
'Jian Li' 'Yong-Hong Kuo'] Urban rail transit train operation plan is a comprehensive production plan encompassing line planning, timetabling, and rolling stock scheduling. In order to solve the problem of infeasibility of the line plan and timetable because the number of rolling stocks could be only precisely…
Matthew Gradwohl, Guidio Sewa, Oke Blessing Oghojafor, Richard Wilouwou + 2 more
and Late Jobs in the Single Machine Flowshop Problem Authors: ['Matthew Gradwohl' 'Guidio Sewa' 'Oke Blessing Oghojafor' 'Richard Wilouwou' 'M. O. Adamu' 'Christopher Thron'] In this paper we introduce, test, and optimize two new heuristic algorithms for mixed tardiness and late job minimization in single-machine…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Josef Grus, Claire Hanen, Zdeněk Hanzálek
Periodic messages transfer data from sensors to actuators in cars, planes, and complex production machines. When considering a given routing, the unicast message starts at its source and goes over several dedicated resources to reach its destination. Such unicast message can be represented as a chain of pointto-point…
Eric Hermes, Khachik Sargsyan, Habib Najm, Judit Zádor
We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate system. This algorithm automates the procedure of defining the internal coordinate system, including the handling of linear bending angles, e.g. through the…