Subway Energy-Efficient Management:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Singapore Pte. Limited
2020
|
| Schriftenreihe: | Uncertainty and Operations Research Ser
|
| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (123 Seiten) |
| ISBN: | 9789811577857 |
Internformat
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| 505 | 8 | |a Intro -- Preface -- Contents -- 1 Literature Overview -- 1.1 Energy-Efficient Speed Control -- 1.1.1 Analytical Algorithms -- 1.1.2 Numerical Algorithms -- 1.2 Energy-Efficient Timetable Optimization -- 1.2.1 Overlapping Time Maximization -- 1.2.2 Regenerative Energy Maximization -- 1.3 Extensions -- References -- 2 Energy-Efficient Speed Control -- 2.1 Problem Description -- 2.2 Model Formulation -- 2.2.1 Notations -- 2.2.2 Speed Control Model without Speed Limits -- 2.2.3 Optimal Control Model with Speed Limits -- 2.3 Genetic Algorithm -- 2.4 Numerical Examples -- References -- 3 Timetabling with Overlapping Time Maximization -- 3.1 Problem Description -- 3.2 Model Formulation -- 3.2.1 Notations -- 3.2.2 Parameters -- 3.2.3 Intermediate Variables -- 3.2.4 Decision Variables -- 3.2.5 Model Assumptions -- 3.2.6 Cooperative Rules -- 3.2.7 Overlapping Time -- 3.2.8 Overlapping Time Maximization Model -- 3.3 Genetic Algorithm -- 3.3.1 Representation Structure -- 3.3.2 Initialization -- 3.3.3 Evaluation Function -- 3.3.4 Selection Process -- 3.3.5 Crossover Operation -- 3.3.6 Mutation Operation -- 3.3.7 General Procedure -- 3.4 Numerical Examples -- References -- 4 Timetabling with Regenerative Energy Maximization -- 4.1 Problem Description -- 4.2 Model Formulation -- 4.2.1 Notations -- 4.2.2 Model Assumptions -- 4.2.3 Timetabling Rules -- 4.2.4 Objective Function -- 4.2.5 Regenerative Energy Maximization Model -- 4.3 Solution Method -- 4.3.1 Genetic Algorithm -- 4.3.2 Allocation Algorithm -- 4.4 Numerical Examples -- References -- 5 Integrated Speed Control and Timetable Optimization -- 5.1 Problem Description -- 5.2 Model Formulation -- 5.2.1 Notations -- 5.2.2 Net Energy Consumption -- 5.2.3 Integrated Constraints -- 5.2.4 Integrated Optimization Model -- 5.3 Solution Method -- 5.3.1 Representation Process -- 5.3.2 Initialization Process | |
| 505 | 8 | |a 5.3.3 Evaluation Process -- 5.3.4 Selection Process -- 5.3.5 Crossover Process -- 5.3.6 Mutation Process -- 5.3.7 General Procedure -- 5.4 Numerical Examples -- References -- 6 Dynamic Speed Control and Timetable Optimization -- 6.1 Problem Description -- 6.2 Model Formulation -- 6.2.1 Assumptions -- 6.2.2 Notations -- 6.2.3 Indices and Parameters -- 6.2.4 Decision Variables -- 6.2.5 Net Energy Consumption -- 6.2.6 Constraints -- 6.2.7 Integrated Optimization Model -- 6.3 Solution Method -- 6.4 Numerical Examples -- References -- 7 Stochastic Speed Control and Timetable Optimization -- 7.1 Problem Description -- 7.2 Model Formulation -- 7.2.1 Notations -- 7.2.2 Uncertainty of Train Mass -- 7.2.3 System Constraints -- 7.2.4 Objective Function -- 7.2.5 Stochastic Optimization Model -- 7.2.6 Formulation Complexity -- 7.3 Solution Method -- 7.3.1 Simulation -- 7.3.2 Genetic Algorithm -- 7.4 Numerical Examples -- References | |
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Datensatz im Suchindex
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| adam_txt | |
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| author | Li, Xiang |
| author_facet | Li, Xiang |
| author_role | aut |
| author_sort | Li, Xiang |
| author_variant | x l xl |
| building | Verbundindex |
| bvnumber | BV048224264 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Contents -- 1 Literature Overview -- 1.1 Energy-Efficient Speed Control -- 1.1.1 Analytical Algorithms -- 1.1.2 Numerical Algorithms -- 1.2 Energy-Efficient Timetable Optimization -- 1.2.1 Overlapping Time Maximization -- 1.2.2 Regenerative Energy Maximization -- 1.3 Extensions -- References -- 2 Energy-Efficient Speed Control -- 2.1 Problem Description -- 2.2 Model Formulation -- 2.2.1 Notations -- 2.2.2 Speed Control Model without Speed Limits -- 2.2.3 Optimal Control Model with Speed Limits -- 2.3 Genetic Algorithm -- 2.4 Numerical Examples -- References -- 3 Timetabling with Overlapping Time Maximization -- 3.1 Problem Description -- 3.2 Model Formulation -- 3.2.1 Notations -- 3.2.2 Parameters -- 3.2.3 Intermediate Variables -- 3.2.4 Decision Variables -- 3.2.5 Model Assumptions -- 3.2.6 Cooperative Rules -- 3.2.7 Overlapping Time -- 3.2.8 Overlapping Time Maximization Model -- 3.3 Genetic Algorithm -- 3.3.1 Representation Structure -- 3.3.2 Initialization -- 3.3.3 Evaluation Function -- 3.3.4 Selection Process -- 3.3.5 Crossover Operation -- 3.3.6 Mutation Operation -- 3.3.7 General Procedure -- 3.4 Numerical Examples -- References -- 4 Timetabling with Regenerative Energy Maximization -- 4.1 Problem Description -- 4.2 Model Formulation -- 4.2.1 Notations -- 4.2.2 Model Assumptions -- 4.2.3 Timetabling Rules -- 4.2.4 Objective Function -- 4.2.5 Regenerative Energy Maximization Model -- 4.3 Solution Method -- 4.3.1 Genetic Algorithm -- 4.3.2 Allocation Algorithm -- 4.4 Numerical Examples -- References -- 5 Integrated Speed Control and Timetable Optimization -- 5.1 Problem Description -- 5.2 Model Formulation -- 5.2.1 Notations -- 5.2.2 Net Energy Consumption -- 5.2.3 Integrated Constraints -- 5.2.4 Integrated Optimization Model -- 5.3 Solution Method -- 5.3.1 Representation Process -- 5.3.2 Initialization Process 5.3.3 Evaluation Process -- 5.3.4 Selection Process -- 5.3.5 Crossover Process -- 5.3.6 Mutation Process -- 5.3.7 General Procedure -- 5.4 Numerical Examples -- References -- 6 Dynamic Speed Control and Timetable Optimization -- 6.1 Problem Description -- 6.2 Model Formulation -- 6.2.1 Assumptions -- 6.2.2 Notations -- 6.2.3 Indices and Parameters -- 6.2.4 Decision Variables -- 6.2.5 Net Energy Consumption -- 6.2.6 Constraints -- 6.2.7 Integrated Optimization Model -- 6.3 Solution Method -- 6.4 Numerical Examples -- References -- 7 Stochastic Speed Control and Timetable Optimization -- 7.1 Problem Description -- 7.2 Model Formulation -- 7.2.1 Notations -- 7.2.2 Uncertainty of Train Mass -- 7.2.3 System Constraints -- 7.2.4 Objective Function -- 7.2.5 Stochastic Optimization Model -- 7.2.6 Formulation Complexity -- 7.3 Solution Method -- 7.3.1 Simulation -- 7.3.2 Genetic Algorithm -- 7.4 Numerical Examples -- References |
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| dewey-full | 363.705 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.705 |
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| discipline | Soziologie |
| discipline_str_mv | Soziologie |
| format | Electronic eBook |
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| id | DE-604.BV048224264 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:50:39Z |
| indexdate | 2024-07-10T09:32:28Z |
| institution | BVB |
| isbn | 9789811577857 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033604997 |
| oclc_num | 1198892768 |
| open_access_boolean | |
| physical | 1 Online-Ressource (123 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer Singapore Pte. Limited |
| record_format | marc |
| series2 | Uncertainty and Operations Research Ser |
| spelling | Li, Xiang Verfasser aut Subway Energy-Efficient Management Singapore Springer Singapore Pte. Limited 2020 ©2020 1 Online-Ressource (123 Seiten) txt rdacontent c rdamedia cr rdacarrier Uncertainty and Operations Research Ser Description based on publisher supplied metadata and other sources Intro -- Preface -- Contents -- 1 Literature Overview -- 1.1 Energy-Efficient Speed Control -- 1.1.1 Analytical Algorithms -- 1.1.2 Numerical Algorithms -- 1.2 Energy-Efficient Timetable Optimization -- 1.2.1 Overlapping Time Maximization -- 1.2.2 Regenerative Energy Maximization -- 1.3 Extensions -- References -- 2 Energy-Efficient Speed Control -- 2.1 Problem Description -- 2.2 Model Formulation -- 2.2.1 Notations -- 2.2.2 Speed Control Model without Speed Limits -- 2.2.3 Optimal Control Model with Speed Limits -- 2.3 Genetic Algorithm -- 2.4 Numerical Examples -- References -- 3 Timetabling with Overlapping Time Maximization -- 3.1 Problem Description -- 3.2 Model Formulation -- 3.2.1 Notations -- 3.2.2 Parameters -- 3.2.3 Intermediate Variables -- 3.2.4 Decision Variables -- 3.2.5 Model Assumptions -- 3.2.6 Cooperative Rules -- 3.2.7 Overlapping Time -- 3.2.8 Overlapping Time Maximization Model -- 3.3 Genetic Algorithm -- 3.3.1 Representation Structure -- 3.3.2 Initialization -- 3.3.3 Evaluation Function -- 3.3.4 Selection Process -- 3.3.5 Crossover Operation -- 3.3.6 Mutation Operation -- 3.3.7 General Procedure -- 3.4 Numerical Examples -- References -- 4 Timetabling with Regenerative Energy Maximization -- 4.1 Problem Description -- 4.2 Model Formulation -- 4.2.1 Notations -- 4.2.2 Model Assumptions -- 4.2.3 Timetabling Rules -- 4.2.4 Objective Function -- 4.2.5 Regenerative Energy Maximization Model -- 4.3 Solution Method -- 4.3.1 Genetic Algorithm -- 4.3.2 Allocation Algorithm -- 4.4 Numerical Examples -- References -- 5 Integrated Speed Control and Timetable Optimization -- 5.1 Problem Description -- 5.2 Model Formulation -- 5.2.1 Notations -- 5.2.2 Net Energy Consumption -- 5.2.3 Integrated Constraints -- 5.2.4 Integrated Optimization Model -- 5.3 Solution Method -- 5.3.1 Representation Process -- 5.3.2 Initialization Process 5.3.3 Evaluation Process -- 5.3.4 Selection Process -- 5.3.5 Crossover Process -- 5.3.6 Mutation Process -- 5.3.7 General Procedure -- 5.4 Numerical Examples -- References -- 6 Dynamic Speed Control and Timetable Optimization -- 6.1 Problem Description -- 6.2 Model Formulation -- 6.2.1 Assumptions -- 6.2.2 Notations -- 6.2.3 Indices and Parameters -- 6.2.4 Decision Variables -- 6.2.5 Net Energy Consumption -- 6.2.6 Constraints -- 6.2.7 Integrated Optimization Model -- 6.3 Solution Method -- 6.4 Numerical Examples -- References -- 7 Stochastic Speed Control and Timetable Optimization -- 7.1 Problem Description -- 7.2 Model Formulation -- 7.2.1 Notations -- 7.2.2 Uncertainty of Train Mass -- 7.2.3 System Constraints -- 7.2.4 Objective Function -- 7.2.5 Stochastic Optimization Model -- 7.2.6 Formulation Complexity -- 7.3 Solution Method -- 7.3.1 Simulation -- 7.3.2 Genetic Algorithm -- 7.4 Numerical Examples -- References Environmental management Yang, Xin Sonstige oth Erscheint auch als Druck-Ausgabe Li, Xiang Subway Energy-Efficient Management Singapore : Springer Singapore Pte. Limited,c2020 9789811577840 |
| spellingShingle | Li, Xiang Subway Energy-Efficient Management Intro -- Preface -- Contents -- 1 Literature Overview -- 1.1 Energy-Efficient Speed Control -- 1.1.1 Analytical Algorithms -- 1.1.2 Numerical Algorithms -- 1.2 Energy-Efficient Timetable Optimization -- 1.2.1 Overlapping Time Maximization -- 1.2.2 Regenerative Energy Maximization -- 1.3 Extensions -- References -- 2 Energy-Efficient Speed Control -- 2.1 Problem Description -- 2.2 Model Formulation -- 2.2.1 Notations -- 2.2.2 Speed Control Model without Speed Limits -- 2.2.3 Optimal Control Model with Speed Limits -- 2.3 Genetic Algorithm -- 2.4 Numerical Examples -- References -- 3 Timetabling with Overlapping Time Maximization -- 3.1 Problem Description -- 3.2 Model Formulation -- 3.2.1 Notations -- 3.2.2 Parameters -- 3.2.3 Intermediate Variables -- 3.2.4 Decision Variables -- 3.2.5 Model Assumptions -- 3.2.6 Cooperative Rules -- 3.2.7 Overlapping Time -- 3.2.8 Overlapping Time Maximization Model -- 3.3 Genetic Algorithm -- 3.3.1 Representation Structure -- 3.3.2 Initialization -- 3.3.3 Evaluation Function -- 3.3.4 Selection Process -- 3.3.5 Crossover Operation -- 3.3.6 Mutation Operation -- 3.3.7 General Procedure -- 3.4 Numerical Examples -- References -- 4 Timetabling with Regenerative Energy Maximization -- 4.1 Problem Description -- 4.2 Model Formulation -- 4.2.1 Notations -- 4.2.2 Model Assumptions -- 4.2.3 Timetabling Rules -- 4.2.4 Objective Function -- 4.2.5 Regenerative Energy Maximization Model -- 4.3 Solution Method -- 4.3.1 Genetic Algorithm -- 4.3.2 Allocation Algorithm -- 4.4 Numerical Examples -- References -- 5 Integrated Speed Control and Timetable Optimization -- 5.1 Problem Description -- 5.2 Model Formulation -- 5.2.1 Notations -- 5.2.2 Net Energy Consumption -- 5.2.3 Integrated Constraints -- 5.2.4 Integrated Optimization Model -- 5.3 Solution Method -- 5.3.1 Representation Process -- 5.3.2 Initialization Process 5.3.3 Evaluation Process -- 5.3.4 Selection Process -- 5.3.5 Crossover Process -- 5.3.6 Mutation Process -- 5.3.7 General Procedure -- 5.4 Numerical Examples -- References -- 6 Dynamic Speed Control and Timetable Optimization -- 6.1 Problem Description -- 6.2 Model Formulation -- 6.2.1 Assumptions -- 6.2.2 Notations -- 6.2.3 Indices and Parameters -- 6.2.4 Decision Variables -- 6.2.5 Net Energy Consumption -- 6.2.6 Constraints -- 6.2.7 Integrated Optimization Model -- 6.3 Solution Method -- 6.4 Numerical Examples -- References -- 7 Stochastic Speed Control and Timetable Optimization -- 7.1 Problem Description -- 7.2 Model Formulation -- 7.2.1 Notations -- 7.2.2 Uncertainty of Train Mass -- 7.2.3 System Constraints -- 7.2.4 Objective Function -- 7.2.5 Stochastic Optimization Model -- 7.2.6 Formulation Complexity -- 7.3 Solution Method -- 7.3.1 Simulation -- 7.3.2 Genetic Algorithm -- 7.4 Numerical Examples -- References Environmental management |
| title | Subway Energy-Efficient Management |
| title_auth | Subway Energy-Efficient Management |
| title_exact_search | Subway Energy-Efficient Management |
| title_exact_search_txtP | Subway Energy-Efficient Management |
| title_full | Subway Energy-Efficient Management |
| title_fullStr | Subway Energy-Efficient Management |
| title_full_unstemmed | Subway Energy-Efficient Management |
| title_short | Subway Energy-Efficient Management |
| title_sort | subway energy efficient management |
| topic | Environmental management |
| topic_facet | Environmental management |
| work_keys_str_mv | AT lixiang subwayenergyefficientmanagement AT yangxin subwayenergyefficientmanagement |