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Cooperative Co-Evolution Algorithm with an MRF-Based Decomposition Strategy for Stochastic Flexible Job Shop Scheduling

Lu Sun, Lin Lin, Haojie Li, Mitsuo Gen
2019 Mathematics  
Flexible job shop scheduling is an important issue in the integration of research area and real-world applications.  ...  We proposed a hybrid cooperative co-evolution algorithm with a Markov random field (MRF)-based decomposition strategy (hCEA-MRF) for solving the stochastic flexible scheduling problem with the objective  ...  Acknowledgments: Thanks to the reviewers for their valuable comments, to help us improve the quality of the papers, and to thank the editors for helping us improve the quality of the typesetting.  ... 
doi:10.3390/math7040318 fatcat:xcbdqd7v4vhvxpd6wfd7yf2yoi

SAM: A Meta-Heuristic Algorithm for Singlemachine Scheduling Problems

Natasha Zlobinsky, Ling Cheng
2018 SAIEE Africa Research Journal  
Their contribution is to include a job position-based learning effect.  ...  In [80] , EDA is combined with GA to improve the effective complexity of EDA.  ... 
doi:10.23919/saiee.2018.8531800 fatcat:4n6r2uwmmraznhktc3dxcufqw4

Operations Research (OR) in Service Industries: A Comprehensive Review

Yiting Xing, Ling Li, Zhuming Bi, Marzena Wilamowska-Korsak, Li Zhang
2013 Systems research and behavioral science  
Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy.  ...  This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future.  ...  Pham and Klinkert (2008) proposed a new approach to schedule surgical cases; the multimode blocking job-shop scheduling approach was extended to solve the problem of surgery scheduling.  ... 
doi:10.1002/sres.2185 fatcat:bmil4ahow5cmzesh64bjm6fd5y

Multiobjective Resource-Constrained Project Scheduling with a Time-Varying Number of Tasks

Manuel Blanco Abello, Zbigniew Michalewicz
2014 The Scientific World Journal  
As with McBAR, EDA is applied to solve the dynamic problem, an application that is unique in the literature.  ...  Our previous work investigated a technique called mapping of task IDs for centroid-based approach with random immigrants (McBAR) that was used to solve the dynamic problem.  ...  For example, in some job-shop scheduling, additional rush jobs and job cancellations occur [22] .  ... 
doi:10.1155/2014/420101 pmid:24883398 pmcid:PMC4030562 fatcat:rxzi6kbosbhonads6iqhlskwzm

Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey [article]

Marko Đurasević, Domagoj Jakobović
2021 arXiv   pre-print
Today scheduling problems have an immense effect on various areas of human lives, be it from their application in manufacturing and production industry, transportation, or workforce allocation.  ...  The goal of this study is to provide an extensive literature review on the application of heuristic and metaheuristic methods for solving the UPMSP.  ...  For example, an overview of staff scheduling and rostering was provided in [6] . Timetabling problems have been surveyed in [7] . Studies dealing with flexible job shop have been surveyed in [8] .  ... 
arXiv:2107.13106v1 fatcat:e3eijbxklbeulefyv3t5kcu2im

Modelling and Control of Production Systems based on Observed Inter-event Times: An Analytical and Empirical Investigation (Ph.D. Thesis) [article]

Nima Manafzadeh Dizbin
2022 arXiv   pre-print
The objective of data collection is to deploy the collected data in developing decision support systems for performance evaluation, problem identification, and production control.  ...  In the first part of the thesis, I investigate how can the collected data from the shop-floor be used in the efficient control and design of manufacturing systems?  ...  Altiok and Melamed study the effects of correlated job arrivals in an M/M/1 queue, the effects of correlated production process in an M/G/1 queue, and in a pull-type production system.  ... 
arXiv:2204.01079v1 fatcat:myhpx6yzjbefxp3epn5ad6bvua

A Multi-Facet Survey on Memetic Computation

Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan
2011 IEEE Transactions on Evolutionary Computation  
Memetic computation is a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving.  ...  Specialized operators such as position based mutator [115] have been proposed for solving job-shop scheduling problems more effectively.  ...  ACO and GA have stronger presence in the domain of order-based discrete combinatorial optimization, while DE, EDA, PSO are more often used for handling continuous variable problems.  ... 
doi:10.1109/tevc.2011.2132725 fatcat:dy4vpyft6rhdxb4dkt7iyaqvna

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm.  ...  A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution.  ...  a Novel PSO-Based Fuzzy Controller 125, Yuan Yuan and Hua Xu, HHS/LNS An Integrated Search Method for Flexible Job Shop Scheduling 144, William Raffe, Fabio Zambetta and Xiaodong Li, A Survey of Procedural  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Bat algorithm optimized fuzzy PD based speed controller for brushless direct current motor

K. Premkumar, B.V. Manikandan
2016 Engineering Science and Technology, an International Journal  
the above controllers under different operating conditions such as varying set speed and load disturbance conditions.  ...  Experimental test results have also been taken and analyzed for the optimal controller identified through simulation.  ...  Flexible job shop scheduling problem using an estimation of distribution algorithm (EDA) has been explained, and effectiveness of EDA has been addressed in [23] .  ... 
doi:10.1016/j.jestch.2015.11.004 fatcat:iwwbixfidbfsdmyw6fqch2u4je

A Survey on Evolutionary Computation Approaches to Feature Selection

Bing Xue, Mengjie Zhang, Will N. Browne, Xin Yao
2016 IEEE Transactions on Evolutionary Computation  
shop scheduling, transfer learning, and bioinformatics.  ...  [28] developed a rough set theory based algorithm to address feature selection problems under the constraints of having limited resources (e.g. money and time).  ... 
doi:10.1109/tevc.2015.2504420 fatcat:wj2zddgcwncgtf6kphvhyd5pq4

Program

2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
The present study aims to develop an automatic AD detection using Electroencephalogram (EEG) signal to alleviate these problems and to support neurologists.  ...  Alzheimer's disease (AD) diagnosis is performed through the patient's interviews or questionnaires by an experienced psychiatrist. This process is time-consuming, biases, and subject-specific.  ...  Aeronautical Science Laboratory & Institute of Aeronautics and Spatial Studies, Algeria) Dempster-Shafer theory is an essential tool for modelling and reasoning under uncertainty, and it is an effective  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
and Location Scheduling Query for Shop Promotion Based on Records of Bicycle Sharing System Hao-Chun Yang, Chung-Yu Yeh, Yu-Rong Lin, Hsin-Yu Chen, Yu-Hsiang Wang and Yi-Chung  ...  The DK extraction then becomes an inverse problem where the TL propagation constant is calculated based on an initial DK using some empirical formulas with dispersion effects, and the  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

Transport-domain applications of widely used data sources in the smart transportation: A survey [article]

Sina Dabiri, Kevin Heaslip
2018 arXiv   pre-print
to resolve the problems in an efficient manner.  ...  The rapid growth of population and the permanent increase in the number of vehicles engender several issues in transportation systems, which in turn call for an intelligent and cost-effective approach  ...  Applying the graphical inference models, such as Bayesian network and Markov random field, in the dense geo-tagged tweets or check-in records results in a more reliable framework for individuals' activities  ... 
arXiv:1803.10902v3 fatcat:tc67qy4x4vbtjb76qi6mbwrqy4

The relationship of smartphone addiction with teenagers mental health in vocational high school padang Indonesia 2017

Meri Neherta, Trivini Valencya, Yoshi Hernanda
2018 Indian Journal of Public Health Research & Development  
During the period January to December 2017, laparoscopic cholecystectomies procedure were performed for 110 patients at this hospital, and and then investigated the incidence of bile duct injuries.  ...  Another issue over here is uncertainty. There is always an uncertainty observed with the patient's health condition.  ...  The Markov transition matrix T is computed for an image. The matrix T can be compressed and orthogonalized to obtain coarser subspace T 2j+1 .  ... 
doi:10.5958/0976-5506.2018.01491.2 fatcat:xovivjgyd5fafdcl2mfarihfba

D4.3 - Computational analysis report

Elena Garcia, Sara Poveda, Gemma Molero, Ashwani Malviya, Francisco Santarremigia, Maria Chiara Leva, Mary Kinahan, Luca D'Alonzo, Francesco Fabbri, Guillermo Cid, Pablo Aragón, David Laniado (+5 others)
2022 Zenodo  
In each section, we have first an introduction on the objectives of the analysis presented in the context of the Diamond project, then it offers a description of the methodology, and the presentation of  ...  docking station (Use case III) along socio-demographic, territory and mobility aspects, and to select relevant stations for the subsequent steps of the analysis (Section 2).  ...  Bayes score of the Bayesian network To develop the Bayesian network analysis, an open-source program called Open Markov 0.3.4 was used.  ... 
doi:10.5281/zenodo.6372486 fatcat:ytk75oel7va5bccibqzaxvdanm
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