Pub Date : 2018-09-01DOI: 10.1109/ICDIM.2018.8847099
G. Koulinas, Alexandros Xanthopoulos, Athanasios Kiatipis, D. Koulouriotis
Recently, Reinforcement Learning (RL) strategies have attracted researchers’ interest as a powerful approach for effective treating important problems in the field of production and project management. Generally, RL are autonomous machine learning algorithms that include a learning process that interacts with the problem, which is under study in order to search for good quality solutions in reasonable time. At each decision point of the algorithm, the current state of the problem is revised and decisions about the future of the searching strategy are taken. The objective of this work is to summarize, in brief, recently proposed studies using reinforcement learning strategies for solving project scheduling problems and production scheduling problems, as well. Based on the review, we suggest directions for future research about approaches that can be proved interesting in practice.
{"title":"A Summary Of Using Reinforcement Learning Strategies For Treating Project And Production Management Problems","authors":"G. Koulinas, Alexandros Xanthopoulos, Athanasios Kiatipis, D. Koulouriotis","doi":"10.1109/ICDIM.2018.8847099","DOIUrl":"https://doi.org/10.1109/ICDIM.2018.8847099","url":null,"abstract":"Recently, Reinforcement Learning (RL) strategies have attracted researchers’ interest as a powerful approach for effective treating important problems in the field of production and project management. Generally, RL are autonomous machine learning algorithms that include a learning process that interacts with the problem, which is under study in order to search for good quality solutions in reasonable time. At each decision point of the algorithm, the current state of the problem is revised and decisions about the future of the searching strategy are taken. The objective of this work is to summarize, in brief, recently proposed studies using reinforcement learning strategies for solving project scheduling problems and production scheduling problems, as well. Based on the review, we suggest directions for future research about approaches that can be proved interesting in practice.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121292980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/icdim.2018.8847084
{"title":"ICDIM 2018 Copyright Page","authors":"","doi":"10.1109/icdim.2018.8847084","DOIUrl":"https://doi.org/10.1109/icdim.2018.8847084","url":null,"abstract":"","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125865972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICDIM.2018.8847012
Vandana Kannan, Natalia Khuri
Often, textual data is accompanied by images in an attempt to help the user better understand the content. Drawing inspiration from this, it would be interesting to transform any given text into a digital image collage, an artistic graphic object. To automate the process, we developed a software system that uses Natural Language Processing to summarize large paragraphs of text, retrieves images from databases, and arranges them with a Genetic Algorithm on a digital canvas. Given that certain images may be more important to the user, the software computes emphasis factors for scaling the images in the collage. We performed computational experiments to validate each module of our system and initiated user studies to examine their perception of the collages.
{"title":"Creating Digital Collages Inspired by English Texts","authors":"Vandana Kannan, Natalia Khuri","doi":"10.1109/ICDIM.2018.8847012","DOIUrl":"https://doi.org/10.1109/ICDIM.2018.8847012","url":null,"abstract":"Often, textual data is accompanied by images in an attempt to help the user better understand the content. Drawing inspiration from this, it would be interesting to transform any given text into a digital image collage, an artistic graphic object. To automate the process, we developed a software system that uses Natural Language Processing to summarize large paragraphs of text, retrieves images from databases, and arranges them with a Genetic Algorithm on a digital canvas. Given that certain images may be more important to the user, the software computes emphasis factors for scaling the images in the collage. We performed computational experiments to validate each module of our system and initiated user studies to examine their perception of the collages.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133005236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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