Results 111 to 120 of about 680,167 (353)
Constructing a fuzzy flow-shop sequencing model based on statistical data [PDF]
, 2002 This study investigated an approach for incorporating statistics with fuzzy sets in the flow-shop sequencing problem. This work is based on the assumption that the precise value for the processing time of each job is unknown, but that some sample data ...
Lin, Feng-Tse, Yao, Jing-Shing
core +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Quantify the impact of additional imaging doses on clinical dose constraints during lung stereotactic body radiotherapy (SBRT) treatment utilizing stereoscopic/monoscopic real‐time tumor monitoring. Materials and Methods Thirty lung SBRT patients treated with the volumetric arc therapy technique were randomly selected from the ...
Ruwan Abeywardhana, Mike Sattarivand
wiley +1 more source
Performance analysis of control allocation using data‐driven integral quadratic constraints
Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022 Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch +2 more
wiley +1 more source
Analysis of usage of genetic and tabu search algorithms in shop scheduling
Lietuvos Matematikos Rinkinys, 2008 A wide area of scheduling problem is industrial so-called shop scheduling (Job Shop, Flow Shop and Open Shop) which has important applications in real world industrial problems.
Edgaras Šakurovas +1 more
doaj +1 more source
A Stochastic Dominance Ordering of Scheduling Rules. [PDF]
, 1979 This paper applies stochastic dominance (SD) preference-ordering criteria to job shop scheduling rules. A simulation model of a hypothetical dual-constrained job shop is used to derive several measures of shop performance for a number of dispatching/due ...
NC DOCKS at The University of North Carolina at Greensboro +1 more
core +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract This study aimed to evaluate the dose‐exposure reduction effect of a crystalline lens with a bismuth eye shield using cone‐beam computed tomography (CBCT) for head image‐guided radiation therapy. The ocular surface dose of the head phantom (THRA‐1) is defined as a crystalline lens exposure dose and is measured using a radiophotoluminescence ...
Tatsuya Yoshida +5 more
wiley +1 more source
Integrating Genetic Algorithm, Tabu Search Approach for Job Shop Scheduling [PDF]
IJCSIS June 2009 Issue, Vol. 2, No. 1, 2009 This paper presents a new algorithm based on integrating Genetic Algorithms and Tabu Search methods to solve the Job Shop Scheduling problem. The idea of the proposed algorithm is derived from Genetic Algorithms. Most of the scheduling problems require either exponential time or space to generate an optimal answer.
arxiv
Particle swarm optimization applied to job shop scheduling [PDF]
, 2007 In this project we have to apply the particle swarm optimization algorithm to job shop scheduling problem. Job shop scheduling is a combinatorial optimization problem where we have to arrange the jobs which may or may not be processed in every machine in
Dwivedi , Piyush, Vishal , Vivek
core
ESTIMATION OF JOB COMPLETION TIMES IN A DYNAMIC SHOP JOB BASED ON STATIC JOB SHOP SOLUTION
IFAC Proceedings Volumes, 2007 Abstract We investigate the temporal behaviour of completion time estimates derived from scheduling algorithms that are based on the set of already known and accepted orders (static job shop problem). In a dynamic job shop environment, these estimates change over time, typically increasing.
Tobias Roithner, Christoph Heitz
openaire +2 more sources
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source