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Format: XI, 250 p. 80 illus., 70 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819969876

Series Statement: Engineering Applications of Computational Methods, 18

Content: This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.

Note: 1. System overview -- 2. Green scheduling in single machine environment -- 3. Green scheduling in permutation flow shop environment -- 4. Green scheduling in hybrid flow shop environment -- 5. Green scheduling in job shop environment.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819969869

Additional Edition: Printed edition: ISBN 9789819969883

Additional Edition: Printed edition: ISBN 9789819969890

Language: English

DOI: 10.1007/978-981-99-6987-6

URL: https://doi.org/10.1007/978-981-99-6987-6

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 Online-Ressource (XVI, 462 p. 181 illus., 102 illus. in color)

Edition: 1st ed. 2020

ISBN: 9783662553053

Series Statement: Engineering Applications of Computational Methods 2

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-662-55303-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-662-55304-6

Language: English

DOI: 10.1007/978-3-662-55305-3

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 2, 1, 115 Seiten , 图片

Edition: 第1版

Original writing title: 晚清民国时期成都商人阶层城市生活研究 : 1840-1949

Original writing person/organisation: 李馨妤

Original writing publisher: 成都 : 四川大学出版社

ISBN: 9787569053951

Language: Chinese

URL: Inhaltsverzeichnis

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Format: 1 Online-Ressource

Original writing title: 城市外交

Original writing person/organisation: 李小林

Original writing publisher: 北京 : 社会科学文献出版社

ISBN: 9787509787052

Content: 21世纪，城市作为全球化进程中的“节点”、跨国合作的纽带、全球治理的前沿，在国际关系中的地位与作用日益凸显，成为国际关系研究的一个新课题。本书系统探讨、分析城市外交在国际关系中的地位与作用，由“理论研究篇”、“比较研究篇”和“案例研究篇”三部分组成,力求达到三个目标：一是对城市外交进行系统论述；二是为国际关系研究与城市对外工作提供理论指导和实践案例；三是为相关政府机构提供决策参考。

Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt

Language: Chinese

URL: Volltext

URL: Volltext

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Format: 1 Online-Ressource

Original writing title: 中国城市竞争力专题报告（1973-2015）

Original writing person/organisation: 倪鹏飞

Original writing publisher: 北京 : 社会科学文献出版社

ISBN: 9787509783382

Series Statement: Cheng shi jing zheng li lan pi shu

Content: 2014年4月中国人民对外友好协会国际友好城市交流中心邀请中国社会科学院城市与竞争力研究中心组成联合课题组，创立“城市友好交往度指数”理论框架。通过问卷调查，系统收集中国各省级、地级以上城市和县级城市友好交往工作数据388套，运用定量分析方法，系统分析、梳理、总结并客观评价中国国际友好城市40年工作情况。本书即是此次研究的专题报告，是对中国国际友好城市的发展历程的回顾与展望。

Note: 电子文献 , Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt

Language: Chinese

URL: Volltext

URL: Volltext

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Format: 88 Seiten

Edition: Online-Ausgabe Bei jing 2016 1 Online-Ressource Min guo tu shu shu ju ku = Early Twentieth Century Books in China, 1911-1949. tu shu ; er qi

Original writing title: 潮汐概说

Original writing publisher: 昆明 : 中华书局

Series Statement: Chang shi cong shu

Content: 概述潮汐力学及中国沿岸的潮汐等。附编：1.长期验潮推算潮汐常数；2.参考书目录；3.关系潮汐英文术语译述。

Note: Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt , System requirements: Internet browser, Acrobat reader with Adobe simplified Chinese fonts.

Language: Chinese

URL: lizenzpflichtig

URL: lizenzpflichtig

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Format: 1 Online-Ressource

Original writing title: 责任与担当 (中英双语版)

Original writing publisher: 北京 : 社会科学文献出版社

ISBN: 9787520171496

Content: 作为中国改革开放的参与者、见证者、贡献者、受益者，跨国公司与中国风雨同行40年。2020年伊始，新冠肺炎疫情使正在经历百年未有之大变局的世界雪上加霜。在举国上下万众一心抗击疫情中，跨国公司积极行动，展现“山川异域，风月同天”。本报告旨在梳理、总结、建言、启示，表达跨国公司企业社会责任与担当、对中国的真情关切和与中国携手同行的坚定信心。这是改革开放以来第一部跨国公司建言献策汇编集。全书分两部分。第一部分为部分跨国公司建言报告，主要从不同行业视角，在危机防范与响应机制建设、制造业供应链与全球产业链建设、后疫情时代5G关键应用、疫情对物流行业的挑战与机遇等方面提出建言。第二部分汇集了部分主要跨国公司在疫情中的捐赠信息，其中包括赛诺菲、嘉吉、大众、雅诗兰黛、太古、ABB、必和必拓、路易达孚等。

Note: Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt , 电子文献

Language: Chinese

URL: lizenzpflichtig

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Format: xvi, 462 Seiten , Illustrationen , 23.5 cm x 15.5 cm

ISBN: 9783662553039 , 3662553031

Language: English

Keywords: Ablaufplanung ; Reihenfolgeproblem ; Integrierte Planung ; Mehrkriterielle Optimierung ; Genetischer Algorithmus

URL: http://deposit.dnb.de/cgi-bin/dokserv?id=b513d71bc5a0420bb1f1330cd4c6406b&prov=M&dok_var=1&dok_ext=htm

URL: http://www.springer.com/

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ISSN: 1382-5585

In: Aging, neuropsychology, and cognition, Basingstoke : Psychology Press, Taylor & Francis Group, 1996, 25(2018), 5, Seite 655-672, 1382-5585

In: volume:25

In: year:2018

In: number:5

In: pages:655-672

Language: English

UID:

Format: 1 online resource (xi, 250 pages) : , illustrations.

ISBN: 981-9969-87-5

Series Statement: Engineering applications of computational methods, volume 18

Note: Intro -- Preface -- Contents -- 1 System Overview -- References -- 2 Green Scheduling in Single-Machine Environment -- 2.1 Brief Introduction -- 2.2 Problem Statement and Modeling -- 2.2.1 Problem Statement -- 2.2.2 Mathematical Modeling -- 2.3 Proposed Algorithm -- 2.3.1 Encoding and Decoding -- 2.3.2 Crossover Operator -- 2.3.3 Mutation Operator -- 2.3.4 Local Search -- 2.3.5 Replacement Strategy -- 2.4 Experiments -- 2.4.1 Test Instances -- 2.4.2 Performance Metrics -- 2.4.3 LMOEA Against Other MOEAs -- 2.5 Conclusion -- References -- 3 Green Scheduling in Permutation Flow Shop Environment -- 3.1 Brief introduction -- 3.2 Problem Statement and Modeling -- 3.2.1 Problem Statement -- 3.2.2 Mathematical Modeling -- 3.3 Proposed Algorithm -- 3.3.1 Encoding Representation -- 3.3.2 Initialization -- 3.3.3 Selection-I -- 3.3.4 Crossover and Mutation -- 3.3.5 Selection-II -- 3.4 Case Study and Discussion -- 3.4.1 Case Introduction -- 3.4.2 Parameter Settings -- 3.4.3 Comparison of HMOBSA and the Other Two Algorithms -- 3.4.4 Analysis of Energy-Saving Scenario -- 3.5 Chapter Conclusion -- References -- 4 Green Scheduling in Hybrid Flow Shop Environment -- 4.1 Brief Introduction -- 4.2 Problem Statement and Modeling -- 4.2.1 Problem Statement -- 4.2.2 Mathematical Modeling -- 4.3 Proposed Algorithm -- 4.3.1 Encoding and Decoding -- 4.3.2 Initialization and Dividing the Population into Subpopulations -- 4.3.3 Fitness Evaluation -- 4.3.4 Social Hierarchy -- 4.3.5 Search Operator -- 4.3.6 VNS Strategy -- 4.4 Experiments -- 4.4.1 Test Instances -- 4.4.2 Parameter Settings -- 4.4.3 Performance Metrics -- 4.4.4 Effectiveness of the Cellular Automata -- 4.4.5 Effectiveness of VNS on MOCGWO -- 4.4.6 Comparison of MOCGWO with Other Algorithms -- 4.5 Conclusion -- References -- 5 Green Scheduling in Job Shop Environment -- 5.1 Brief Introduction. , 5.2 Problem Statement and Modeling -- 5.2.1 Problem Statement -- 5.2.2 Mathematical Modeling -- 5.3 Proposed Algorithm -- 5.3.1 Encoding and Decoding -- 5.3.2 Crossover and Mutation -- 5.3.3 Local Search Based on Problem Property -- 5.4 Experiments -- 5.4.1 Test Instances -- 5.4.2 Parameter Settings -- 5.4.3 Performance Metrics -- 5.4.4 Effectiveness of the Proposed Decoding Scheme -- 5.4.5 Effectiveness of the Proposed Local Search -- 5.4.6 Comparison Between MOMA and Other MOEAs -- 5.5 Conclusion -- References -- 6 Green Scheduling in Flexible Job Shop Environment -- 6.1 Brief Introduction -- 6.2 Problem Statement and Modeling -- 6.2.1 Problem Statement -- 6.2.2 Mathematical Modeling -- 6.3 Proposed Algorithm -- 6.3.1 Simplex Lattice Design -- 6.3.2 Encoding and Decoding -- 6.3.3 Initial Population and Fitness Evaluation -- 6.3.4 Genetic Operations -- 6.3.5 Elite Strategy -- 6.3.6 Framework of the Proposed MOGA -- 6.4 Experiments -- 6.4.1 Experiment 1 -- 6.4.2 Experiment 2 -- 6.4.3 Experiment 3 -- 6.4.4 Performance Comparison -- 6.5 Case Study -- 6.6 Conclusion -- References -- 7 Green Scheduling in Welding Shop Environment -- 7.1 Brief Introduction -- 7.2 Problem Statement and Modeling -- 7.2.1 Problem Statement -- 7.2.2 Mathematical Modeling -- 7.3 Proposed Algorithm -- 7.3.1 Encoding and Decoding -- 7.3.2 Initialization -- 7.3.3 Update Operation -- 7.3.4 The New Local Search -- 7.4 Experiments -- 7.4.1 Parameter Settings -- 7.4.2 Comparison of HMOGWO with Other Algorithms -- 7.4.3 Case Study -- 7.5 Chapter Conclusion -- References -- 8 Green Scheduling in Distributed Permutation Flow Shop with Non-identical Factories -- 8.1 Brief Introduction -- 8.2 Problem Statement and Modeling -- 8.2.1 Problem Statement -- 8.2.2 Mathematical Modeling -- 8.3 Proposed Algorithm -- 8.3.1 Encoding and Decoding -- 8.3.2 Initialization -- 8.3.3 Update Operation. , 8.3.4 Local Search -- 8.4 Experiments -- 8.4.1 Instances and Performance Metrics -- 8.4.2 Parameter Calibration -- 8.4.3 Effectiveness of Initialization Strategy -- 8.4.4 Effectiveness of Local Search -- 8.4.5 Effectiveness of Energy-Saving Strategy -- 8.4.6 Comparison of Algorithms -- 8.5 Chapter Conclusion -- References -- 9 Green Scheduling in Distributed Permutation Flow Shop with Limited Buffers -- 9.1 Brief Introduction -- 9.2 Problem Statement and Modeling -- 9.2.1 Problem Statement -- 9.2.2 Mathematical Modeling -- 9.3 Proposed Algorithm -- 9.3.1 Solution Representation -- 9.3.2 Initialization -- 9.3.3 Collaborative Search Operator -- 9.3.4 Local Search -- 9.4 Experiments -- 9.4.1 Instances and Performance Metrics -- 9.4.2 Parameter Calibration -- 9.4.3 Effectiveness of Improvement Components of CMOA -- 9.4.4 Effectiveness of Energy-Saving Strategy -- 9.4.5 Comparison of Algorithms -- 9.5 Chapter Conclusion -- References -- 10 Green Scheduling in Distributed Hybrid Flow Shop Environment -- 10.1 Brief Introduction -- 10.2 Problem Statement and Modeling -- 10.2.1 Problem Statement -- 10.2.2 Mathematical Modeling -- 10.3 Proposed Algorithm -- 10.3.1 Encoding and Decoding -- 10.3.2 Initialization -- 10.3.3 Selection -- 10.3.4 Crossover and Mutation -- 10.3.5 Destruction and Reconstruction -- 10.3.6 Local Search -- 10.3.7 Energy-Saving Strategy -- 10.3.8 Elitism Strategy -- 10.4 Experiments -- 10.4.1 Instances and Performance Metrics -- 10.4.2 Parameter Calibration -- 10.4.3 Validity of Initialization -- 10.4.4 Effectiveness of Local Search -- 10.4.5 Effectiveness of Energy-Saving Strategy -- 10.4.6 Comparison of MOHIG and Other Algorithms -- 10.5 Chapter Conclusion -- References.

Additional Edition: Print version: Lu, Chao Intelligence Optimization for Green Scheduling in Manufacturing Systems Singapore : Springer,c2023 ISBN 9789819969869

Language: English