Results 91 to 100 of about 137,584 (378)
A Job-Shop Scheduling Model Using Genetic Algorithm and Giffler Thompson Approach [PDF]
, 2009 The major objective of this thesis topic is to study the challenging research subject of job shop scheduling with the intent of optimizing the makespan. The job - shop scheduling problem is one of the hardest combinatorial optimization problems. The main
Bumb, Nikhil Deepak
core +2 more sources
Log file‐based quality assurance method for respiratory gating system
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background As medical linear accelerator technology advances, enabling higher dose rate deliveries, hypofractionation regimens has increased. This necessitates respiratory gating systems that synchronize radiation delivery with tumor position, requiring simple rigorous quality assurance (QA) to ensure treatment accuracy and patient safety ...
Wonjoong Cheon +7 more
wiley +1 more source
Seeking Simulation-based Optimization of Job shop Scheduling in Small and Medium Enterprises to Minimize the Cost of Tardiness and Earliness of Activities [PDF]
مدیریت صنعتی, 2017 Determining the optimal sequence of jobs in job shop scheduling for small and medium enterprises, affect the machine productivity, earliness and tardiness costs of delivery. The deterministic variant of the problem is well-known to be NP-Hard.
Seyed Mojtaba Sajadi, Sadegh Shahbazi
doaj +1 more source
A Reinforcement Learning Environment For Job-Shop Scheduling [PDF]
arXiv, 2021 Scheduling is a fundamental task occurring in various automated systems applications, e.g., optimal schedules for machines on a job shop allow for a reduction of production costs and waste. Nevertheless, finding such schedules is often intractable and cannot be achieved by Combinatorial Optimization Problem (COP) methods within a given time limit ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley +1 more source
Evaluate Flexible Job Scheduling Problem Using Elitist Ant [PDF]
BIO Web of ConferencesOne significant approach that is frequently utilized in many applications, particularly in industry, is scheduling .An extension of job scheduling, the Flexible Job Shop Scheduling Problem (FJSP), has a number of real-world uses .This subject has ...
Ali Zainab, Hassan Luma S.
doaj +1 more source
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach [PDF]
Proceedings of the International Conference on Learning and
Intelligent Optimization (LION17). Springer International Publishing (2023,
June), 2023 Job scheduling is a well-known Combinatorial Optimization problem with endless applications. Well planned schedules bring many benefits in the context of automated systems: among others, they limit production costs and waste. Nevertheless, the NP-hardness of this problem makes it essential to use heuristics whose design is difficult, requires ...
arxiv
AIS-SFHM APPROACH FOR OPTIMIZATION OF MULTI OBJECTIVE JOB SHOP PROBLEMS [PDF]
, 2017 The n-job, m-machine Job shop scheduling (JSP) problem is one of the general production scheduling problems. The JSP problem is a scheduling problem, where a set of ‘n’ jobs must be processed or assembled on a set of ‘m’ dedicated machines.
Manoharan, Chandrasekaran
core +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin +5 more
wiley +1 more source
A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problems [PDF]
arXiv, 2012 Bio-Inspired computing is the subset of Nature-Inspired computing. Job Shop Scheduling Problem is categorized under popular scheduling problems. In this research work, Bacterial Foraging Optimization was hybridized with Ant Colony Optimization and a new technique Hybrid Bacterial Foraging Optimization for solving Job Shop Scheduling Problem was ...
arxiv