25 papers · ranked by Valyu relevance
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…
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…
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…
Xavier Schelling, Jose Fernández, Patrick Ward, Javier Fernández + 1 more
'Sam Robertson'] Background: Periodization implies the systematic planning of training and competition with the goal of reaching the best possible performance in the most important competition. In team sports, this consists of finding a flight-and-practice schedule that maximizes the opportunities to perform the…
Geoffrey Fairchild, Kyle S. Hickmann, Susan M. Mniszewski, Sara Y. Del Valle + 1 more
'Sara Y. Del Valle' 'James M. Hyman'] Implementing realistic activity patterns for a population is crucial for modeling, for example, disease spread, supply and demand, and disaster response. Using the dynamic activity simulation engine, DASim, we generate schedules for a population that capture regular (e.g., working…
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…
Holger H. Hoos, Roland Kaminski, Marius Lindauer, Torsten Schaub
Although Boolean Constraint Technology has made tremendous progress over the last decade, the efficacy of state-of-the-art solvers is known to vary considerably across different types of problem instances and is known to depend strongly on algorithm parameters. This problem was addressed by means of a simple, yet…
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…
Wenchang Luo, Taibo Luo, Randy Goebel, Guohui Lin
We investigate a single machine rescheduling problem that arises from an unexpected machine unavailability, after the given set of jobs has already been scheduled to minimize the total weighted completion time. Such a disruption is represented as an unavailable time interval and is revealed to the production planner…
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…
Zahra Khalilzadeh, Lizhi Wang
Corn planting and harvest scheduling is an important problem due to having a significant impact on corn yield, balancing the capacities for harvest, transport, and storage operations. Different corn hybrids also have different planting window and poor planting and harvest schedules may cause erratic weekly harvest…
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…
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…
Vangelis Angelakis, Anthony Ephremides, Qing He, Di Yuan
We consider a set of transmitter-receiver pairs, or links, that share a common channel and address the problem of emptying backlogged queues at the transmitters in minimum time. The problem amounts to determining activation subsets of links and their time durations to form a minimum-length schedule. The problem of…
Yong‐Ming He, Guohua Wu, Yingwu Chen, Witold Pedrycz
—There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which reinforcement learning (RL) and traditional operations research (OR) algorithms are combined together to efficiently deal with complex…
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…
Shanlin Li, Maoqin Li
We consider an integrated production and distribution scheduling problem faced by a typical make-to-order manufacturer which relies on a third-party logistics (3PL) provider for finished product delivery to customers. In the beginning of a planning horizon, the manufacturer has received a set of orders to be processed…
Gerhard Rauchecker, Guido Schryen
Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many scheduling problems are NP-hard in the strong sense, there is a need for developing solution heuristics. For scheduling problems with setup…
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…
Authors not listed
Solving optimization problems, especially for nonlinear and constrained systems, is a challenge. Decades of specialized algorithms have been developed for general and special cases of root finding, minimization (including constraints), for parameter estimation, and mapping connected spaces. These approaches typically…