The integrated optimization of school starting times and public transport:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
Logos-Verl.
2005
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Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | IV, 149 S. Ill., graph. Darst. |
ISBN: | 3832510370 |
Internformat
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Datensatz im Suchindex
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adam_text | THE INTEGRATED OPTIMIZATION OF SCHOOL STARTING TIMES AND PUBLIC
TRANSPORT ZUR ERLANGUNG DCS AKADEMISCLIEN GRADES EINES DOCTOR RERUM
NATURALIUTTI (DR.RER.NAT.) VOM FACHBEREICH MATHEMATIK DRR TECLMISCLIEN
UNIVERSITAT DARMSTADT. GENELMIIGTE DISSERTATION VON DIPL.-MAT.LI. ARININ
FIIGENSCLNIH AUS C^UXHAVRN REFERENT: PROF. DR. ALEXANDER MARTIN
KORREFCRENT: PROF. DR. MIRJAM DIIR TAG LAG DER NIIINDLICLIEN PRIIFUNG:
24. JUNI 2005 DARMSTADT, 2005 D 17 CONTENTS 1 INTRODUCTION 1 1.1 THE
SETTINGS 1 1.2 THE CENTRAL IDEA 3 1.3 THE LEGAL FRAMEWORK 3 1.4 THE
PROBLEM 5 1.5 SURVEY OF THE LITERATURE ON SCHOOL BUS OPTIMIZATION 7 2
MATHEMATICAL PRELIMINARIES 9 2.1 GRAPHS AND SHORTEST PATHS 9 2.2
MIXED-INTEGER PROGRAMMING 11 2.2.1 PREPROCESSING 12 2.2.2 VALID
INEQUALITIES AND CUTTING PLANES 13 2.2.3 BRANCH-AND-BOUND AND
BRAIICH-AND-CUT 14 2.2.1 MUHIERITERIA MIXED-INTEGER PROGRAMS 17 2.2.5
INTEGER PROGRAMS WITH TWO VARIABLES PER ROW 18 2.2.6 IRREDUCIBLE
INFEASIBLE SUBSYSTEMS 21 3 VEHICLE ROUTING WITH COUPLED TIME WINDOWS 25
I 3.1 THE TRAVELING SALESMAN PROBLEM 25 3.2 THE VEHICLE ROUTING PROBLEM
29 3.3 FHE VEHICLE ROUTING PROBLEM WITH COUPLED TIME WINDOWS 31 3.1
NOTES CM THE COMPLEXITY OF VRPCTVV 33 4 MATHEMATICAL MODELS FOR IOSANA
37 *1.1 SETS AND PARAMETERS 37 4.2 VARIABLES AND BOUNDS 41 4.3 TLIE
BICRITERIA MODEL 43 *1.3.1 CONSTRAINTS 43 4.3.2 OBJECTIVE FUNCTIONS 44
4.4 THE MULTICRITERIA MODEL 45 4.4.1 CONSTRAINTS 45 4.4.2 OBJECTIVE
FUNCTIONS 46 4.5 ADDITIONAL REQUIREMENTS 47 5 PRIMAL ASPECTS 53 5.1 HOW
TO PARAMETERIZE A GREEDY HEURISTIC 53 5.1.1 AN INTRODUCTORY EXAMPLE 54
5.1.2 GREEDY AND PGREEDY 56 5.2 PGREEDY FOR IOSANA 62 5.2.1 A GREEDY
HEURISTIC FOR IOSANA 62 6 DUAL ASPECTS 75 6.1 IMPROVING THE LP
RELAXATION OF IOSANA 75 II 6.1.1 PREPROCESSING 76 6.1.2 CUTTING PLANES
82 6.2 MODELING ALTERNATIVES 85 6.2.1 BIG-M-FREE REFORMULATIONS 85 6.2.2
SET-PARTITIONING BASED RELAXATIONS 86 6.3 COMBINING PRIMAL AND DUAL
SOLUTION TECHNIQUES 92 7 INPUT DATA FOR THE MODEL 93 7.1 A VERY TINY
INSTANCE 93 7.2 REAL-WORLD DATA 94 7.2.1 DEMMIN 99 7.2.2 STEINFURT 100
7.2.3 SOEST 101 7.2.1 WERNIGERODE 102 7.2.5 GIITERSLOH 102 7.3 RANDOM
DATA 103 8 COMPUTATIONAL RESULTS 105 8.1 SOLVING THE TINY INSTANCE 105
8.1.1 THE PRIMAL GREEDY HEURISTIC 106 8.1.2 LOOKING AT THE DUAL SIDE ILL
8.2 SOLVING THE RANDOM INSTANCES 115 8.3 SOLVING THE REAL-WORLD
INSTANCES 125 9 CONCLUDING REMARKS 133
|
adam_txt |
THE INTEGRATED OPTIMIZATION OF SCHOOL STARTING TIMES AND PUBLIC
TRANSPORT ZUR ERLANGUNG DCS AKADEMISCLIEN GRADES EINES DOCTOR RERUM
NATURALIUTTI (DR.RER.NAT.) VOM FACHBEREICH MATHEMATIK DRR TECLMISCLIEN
UNIVERSITAT DARMSTADT. GENELMIIGTE DISSERTATION VON DIPL.-MAT.LI. ARININ
FIIGENSCLNIH AUS C^UXHAVRN REFERENT: PROF. DR. ALEXANDER MARTIN
KORREFCRENT: PROF. DR. MIRJAM DIIR TAG LAG DER NIIINDLICLIEN PRIIFUNG:
24. JUNI 2005 DARMSTADT, 2005 D 17 CONTENTS 1 INTRODUCTION 1 1.1 THE
SETTINGS 1 1.2 THE CENTRAL IDEA 3 1.3 THE LEGAL FRAMEWORK 3 1.4 THE
PROBLEM 5 1.5 SURVEY OF THE LITERATURE ON SCHOOL BUS OPTIMIZATION 7 2
MATHEMATICAL PRELIMINARIES 9 2.1 GRAPHS AND SHORTEST PATHS 9 2.2
MIXED-INTEGER PROGRAMMING 11 2.2.1 PREPROCESSING 12 2.2.2 VALID
INEQUALITIES AND CUTTING PLANES 13 2.2.3 BRANCH-AND-BOUND AND
BRAIICH-AND-CUT 14 2.2.1 MUHIERITERIA MIXED-INTEGER PROGRAMS 17 2.2.5
INTEGER PROGRAMS WITH TWO VARIABLES PER ROW 18 2.2.6 IRREDUCIBLE
INFEASIBLE SUBSYSTEMS 21 3 VEHICLE ROUTING WITH COUPLED TIME WINDOWS 25
I 3.1 THE TRAVELING SALESMAN PROBLEM 25 3.2 THE VEHICLE ROUTING PROBLEM
29 3.3 FHE VEHICLE ROUTING PROBLEM WITH COUPLED TIME WINDOWS 31 3.1
NOTES CM THE COMPLEXITY OF VRPCTVV 33 4 MATHEMATICAL MODELS FOR IOSANA
37 *1.1 SETS AND PARAMETERS 37 4.2 VARIABLES AND BOUNDS 41 4.3 TLIE
BICRITERIA MODEL 43 *1.3.1 CONSTRAINTS 43 4.3.2 OBJECTIVE FUNCTIONS 44
4.4 THE MULTICRITERIA MODEL 45 4.4.1 CONSTRAINTS 45 4.4.2 OBJECTIVE
FUNCTIONS 46 4.5 ADDITIONAL REQUIREMENTS 47 5 PRIMAL ASPECTS 53 5.1 HOW
TO PARAMETERIZE A GREEDY HEURISTIC 53 5.1.1 AN INTRODUCTORY EXAMPLE 54
5.1.2 GREEDY AND PGREEDY 56 5.2 PGREEDY FOR IOSANA 62 5.2.1 A GREEDY
HEURISTIC FOR IOSANA 62 6 DUAL ASPECTS 75 6.1 IMPROVING THE LP
RELAXATION OF IOSANA 75 II 6.1.1 PREPROCESSING 76 6.1.2 CUTTING PLANES
82 6.2 MODELING ALTERNATIVES 85 6.2.1 BIG-M-FREE REFORMULATIONS 85 6.2.2
SET-PARTITIONING BASED RELAXATIONS 86 6.3 COMBINING PRIMAL AND DUAL
SOLUTION TECHNIQUES 92 7 INPUT DATA FOR THE MODEL 93 7.1 A VERY TINY
INSTANCE 93 7.2 REAL-WORLD DATA 94 7.2.1 DEMMIN 99 7.2.2 STEINFURT 100
7.2.3 SOEST 101 7.2.1 WERNIGERODE 102 7.2.5 GIITERSLOH 102 7.3 RANDOM
DATA 103 8 COMPUTATIONAL RESULTS 105 8.1 SOLVING THE TINY INSTANCE 105
8.1.1 THE PRIMAL GREEDY HEURISTIC 106 8.1.2 LOOKING AT THE DUAL SIDE ILL
8.2 SOLVING THE RANDOM INSTANCES 115 8.3 SOLVING THE REAL-WORLD
INSTANCES 125 9 CONCLUDING REMARKS 133 |
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author | Fügenschuh, Armin 1974- |
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author_facet | Fügenschuh, Armin 1974- |
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author_sort | Fügenschuh, Armin 1974- |
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building | Verbundindex |
bvnumber | BV021692708 |
classification_rvk | QR 800 |
ctrlnum | (OCoLC)179848413 (DE-599)BVBBV021692708 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Thesis Book |
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id | DE-604.BV021692708 |
illustrated | Illustrated |
index_date | 2024-07-02T15:14:54Z |
indexdate | 2024-07-09T20:41:48Z |
institution | BVB |
isbn | 3832510370 |
language | English |
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physical | IV, 149 S. Ill., graph. Darst. |
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spellingShingle | Fügenschuh, Armin 1974- The integrated optimization of school starting times and public transport Umlaufplanung (DE-588)4836392-3 gnd Optimierung (DE-588)4043664-0 gnd Schulbus (DE-588)4180105-2 gnd Fahrzeugeinsatz (DE-588)4153578-9 gnd |
subject_GND | (DE-588)4836392-3 (DE-588)4043664-0 (DE-588)4180105-2 (DE-588)4153578-9 (DE-588)4113937-9 |
title | The integrated optimization of school starting times and public transport |
title_auth | The integrated optimization of school starting times and public transport |
title_exact_search | The integrated optimization of school starting times and public transport |
title_exact_search_txtP | The integrated optimization of school starting times and public transport |
title_full | The integrated optimization of school starting times and public transport von Armin Fügenschuh |
title_fullStr | The integrated optimization of school starting times and public transport von Armin Fügenschuh |
title_full_unstemmed | The integrated optimization of school starting times and public transport von Armin Fügenschuh |
title_short | The integrated optimization of school starting times and public transport |
title_sort | the integrated optimization of school starting times and public transport |
topic | Umlaufplanung (DE-588)4836392-3 gnd Optimierung (DE-588)4043664-0 gnd Schulbus (DE-588)4180105-2 gnd Fahrzeugeinsatz (DE-588)4153578-9 gnd |
topic_facet | Umlaufplanung Optimierung Schulbus Fahrzeugeinsatz Hochschulschrift |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=2686928&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014906762&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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