Metaheuristic search concepts: a tutorial with applications to production and logistics
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2010
|
| Schlagwörter: | |
| Links: | http://deposit.dnb.de/cgi-bin/dokserv?id=3423872&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=018946162&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | X, 316 S. graph. Darst. |
| ISBN: | 9783642113420 |
Internformat
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| 245 | 1 | 0 | |a Metaheuristic search concepts |b a tutorial with applications to production and logistics |c Günther Zäpfel ; Roland Braune ; Michael Bögl |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2010 | |
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Datensatz im Suchindex
| _version_ | 1819322286367309824 |
|---|---|
| adam_text | CONTENTS PARTI PRELIMINARIES 1 INTRODUCTION 3 2 THE KNAPSACK PROBLEM AND
STRAIGHTFORWARD OPTIMIZATION METHODS . 7 2.1 THE REFERENCE PROBLEM 7 2.2
AN ADDITIONAL GREEDY APPROACH 10 2.3 SOLVING THE KNAPSACK PROBLEM BY
ENUMERATION 11 2.4 BRANCH AND BOUND 15 2.5 SUMMARY 25 3 SEARCH
HEURISTICS 31 3.1 SEARCH HEURISTICS BASED ON REPEATED SOLUTION
CONSTRUCTION 33 3.1.1 RANDOMIZED SEARCH BY SOLUTION CONSTRUCTION 34
3.1.2 MEMORY-BASED SEARCH BY SOLUTION CONSTRUCTION 37 3.2 SEARCH
HEURISTICS BASED ON REPEATED SOLUTION MODIFICATION 43 3.2.1 ALLOWING
DETERIORATIONS ONLY IN DEAD-ENDS 47 3.2.2 ALLOWING DETERIORATIONS AT ANY
TIME 51 3.3 SEARCH HEURISTICS BASED ON REPEATED SOLUTION RECOMBINATION
56 PARTII METAHEURISTICS 4 METAHEURISTICS IN GENERAL 67 4.1
INTENSIFICATION AND DIVERSIFICATION 68 4.2 ALGORITHMIC VIEW 71 4.3
DEFINING THE TERM METAHEURISTIC 72 4.4 SUMMARY 72 5 METAHEURISTICS
BASED ON SOLUTION CONSTRUCTION 75 5.1 GREEDY RANDOMIZED ADAPTIVE SEARCH
PROCEDURE 75 5.1.1 MAIN COMPONENTS OF GREEDY RANDOMIZED ADAPTIVE SEARCH
PROCEDURES 76 VII BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/1000034682 DIGITALISIERT DURCH VIII CONTENTS 5.1.2
ALGORITHMIC VIEW 80 5.1.3 PROBLEM RELATED ASPECTS 81 5.1.4
INTENSIFICATION / DIVERSIFICATION 81 5.2 ANT COLONY OPTIMIZATION 82
5.2.1 APPLICATION TO OPTIMIZATION PROBLEMS 84 5.2.2 MAIN COMPONENTS OF
ANT COLONY OPTIMIZATION 87 5.2.3 ALGORITHMIC VIEW 89 5.2.4 PROBLEM
RELATED ASPECTS 90 5.2.5 INTENSIFICATION / DIVERSIFICATION 92 6
METAHEURISTICS BASED ON SOLUTION MODIFICATION 95 6.1 LOCAL SEARCH AS A
COMMON PRINCIPLE 95 6.1.1 THE LINK BETWEEN SOLUTION MODIFICATION AND
LOCAL SEARCH . 95 6.1.2 SOLUTION PROCESSING SCHEMES 96 6.1.3 PROBLEM
RELATED ASPECTS 98 6.1.4 CREATING THE INITIAL SOLUTION 99 6.1.5 SIMPLE
IMPROVEMENT-BASED LOCAL SEARCH 99 6.2 TABU SEARCH 101 6.2.1 MAIN
COMPONENTS OF TABU SEARCH 102 6.2.2 ALGORITHMIC VIEW 102 6.2.3 THE TABU
LIST 103 6.2.4 PROBLEM RELATED ASPECTS 105 6.2.5 INTENSIFICATION /
DIVERSIFICATION 107 6.3 THRESHOLD ACCEPTING 109 6.3.1 MAIN COMPONENTS OF
THRESHOLD ACCEPTING 109 6.3.2 ALGORITHMIC VIEW 110 6.3.3 PROBLEM RELATED
ASPECTS 110 6.3.4 INTENSIFICATION / DIVERSIFICATION ILL 6.4 SIMULATED
ANNEALING 112 6.4.1 HOMOGENOUS VS. INHOMOGENOUS SIMULATED ANNEALING 114
6.4.2 ANNEALING SCHEDULES 115 6.4.3 MAIN COMPONENTS OF SIMULATED
ANNEALING 116 6.4.4 ALGORITHMIC VIEW 117 6.4.5 PROBLEM RELATED ASPECTS
117 6.4.6 INTENSIFICATION / DIVERSIFICATION 119 7 CONTENTS IX 7.2.1 MAIN
COMPONENTS OF SCATTER SEARCH 135 7.2.2 ALGORITHMIC VIEW 137 7.2.3
INTENSIFICATION / DIVERSIFICATION 143 8 SUMMARIZING REMARKS ON
METAHEURISTICS 145 8.1 SYSTEMATIZATION APPROACHES 145 8.1.1
SYSTEMATIZATION BY BASIC PRINCIPLE 145 8.1.2 ALTERNATIVE TAXONOMIES 146
8.2 FURTHER METAHEURISTICS 151 8.2.1 VARIABLE NEIGHBORHOOD SEARCH 152
8.2.2 GUIDED LOCAL SEARCH 153 8.2.3 EVOLUTION STRATEGIES 154 8.2.4
PARTICLE SWARM OPTIMIZATION 154 PARTILI APPLICATIONS 9 METAHEURISTICS IN
MACHINE SCHEDULING 1 59 9.1 INTRODUCTION 159 .1 MACHINE SCHEDULING IN
THE JOB SHOP CASE 159 .2 COMMON OPTIMIZATION OBJECTIVES 161 .3 THE
REFERENCE PROBLEM 163 .4 TYPES OF SCHEDULES 166 .5 MATHEMATICAL
FORMULATION 168 1.6 PROBLEM DIFFICULTY 168 9.2 COMMON WAYS OF
REPRESENTING SOLUTIONS 169 9.2.1 THE SEQUENCE-BASED REPRESENTATION 170
9.2.2 THE GRAPH-BASED REPRESENTATION 170 9.3 CONSTRUCTIVE HEURISTICS 179
9.3.1 LIST SCHEDULING ALGORITHMS 179 9.3.2 INSERTION ALGORITHMS 184
9.3.3 BOTTLENECK BASED SCHEDULING 185 9.4 METAHEURISTIC APPROACHES BASED
ON SOLUTION MODIFICATION 186 9.4.1 NEIGHBORHOOD CONCEPTS IN JOB SHOP
SCHEDULING 186 9.4.2 TABU SEARCH APPROACHES 189 9.4.3 SIMULATED
ANNEALING APPROACHES 198 9.5 METAHEURISTIC APPROACHES BASED ON SOLUTION
CONSTRUCTION 208 9.5. X CONTENTS 10.3 CONSTRUCTIVE HEURISTICS 243 10.3.1
SAVINGS ALGORITHM 244 10.4 METAHEURISTIC APPROACHES BASED ON SOLUTION
CONSTRUCTION 250 10.4.1 GREEDY RANDOMIZED ADAPTIVE SEARCH PROCEDURE 250
10.5 METAHEURISTIC APPROACHES BASED ON SOLUTION MODIFICATION 266 10.5.1
CLASSIC NEIGHBORHOOD CONCEPTS IN VEHICLE ROUTING 266 10.5.2 TABU SEARCH
270 10.6 METAHEURISTIC APPROACHES BASED ON SOLUTION RECOMBINATION 281
10.6.1 GENETIC ALGORITHM 281 11 SUMMARY 291 11.1 METAHEURISTICS FROM A
GENERAL POINT OF VIEW 291 11.2 GUIDELINE FOR APPLICATION DEVELOPMENT 293
11.3 COMPARISON OF TABU SEARCH FOR JSSP AND VRP 296 11.4 OUTLOOK 297
11.4.1 FURTHER DEVELOPMENTS AND TRENDS IN HEURISTIC OPTIMIZATION 297
11.4.2 (META)HEURISTICS IN INDUSTRIAL PRACTICE 299 REFERENCES 301
|
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| author | Zäpfel, Günther 1942- Braune, Roland Bögl, Michael |
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| callnumber-subject | TS - Manufactures |
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| id | DE-604.BV036054555 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T14:05:45Z |
| institution | BVB |
| isbn | 9783642113420 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018946162 |
| oclc_num | 503649530 |
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| owner_facet | DE-355 DE-BY-UBR DE-384 DE-739 DE-1050 |
| physical | X, 316 S. graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Zäpfel, Günther 1942- Braune, Roland Bögl, Michael Metaheuristic search concepts a tutorial with applications to production and logistics Datenverarbeitung Business logistics Data processing Combinatorial optimization Production management Data processing Diskrete Optimierung (DE-588)4150179-2 gnd Metaheuristik (DE-588)4820176-5 gnd Rucksackproblem (DE-588)4178600-2 gnd Tourenplanung (DE-588)4121783-4 gnd Prozessmanagement (DE-588)4353072-2 gnd Logistik (DE-588)4036210-3 gnd |
| subject_GND | (DE-588)4150179-2 (DE-588)4820176-5 (DE-588)4178600-2 (DE-588)4121783-4 (DE-588)4353072-2 (DE-588)4036210-3 |
| title | Metaheuristic search concepts a tutorial with applications to production and logistics |
| title_auth | Metaheuristic search concepts a tutorial with applications to production and logistics |
| title_exact_search | Metaheuristic search concepts a tutorial with applications to production and logistics |
| title_full | Metaheuristic search concepts a tutorial with applications to production and logistics Günther Zäpfel ; Roland Braune ; Michael Bögl |
| title_fullStr | Metaheuristic search concepts a tutorial with applications to production and logistics Günther Zäpfel ; Roland Braune ; Michael Bögl |
| title_full_unstemmed | Metaheuristic search concepts a tutorial with applications to production and logistics Günther Zäpfel ; Roland Braune ; Michael Bögl |
| title_short | Metaheuristic search concepts |
| title_sort | metaheuristic search concepts a tutorial with applications to production and logistics |
| title_sub | a tutorial with applications to production and logistics |
| topic | Datenverarbeitung Business logistics Data processing Combinatorial optimization Production management Data processing Diskrete Optimierung (DE-588)4150179-2 gnd Metaheuristik (DE-588)4820176-5 gnd Rucksackproblem (DE-588)4178600-2 gnd Tourenplanung (DE-588)4121783-4 gnd Prozessmanagement (DE-588)4353072-2 gnd Logistik (DE-588)4036210-3 gnd |
| topic_facet | Datenverarbeitung Business logistics Data processing Combinatorial optimization Production management Data processing Diskrete Optimierung Metaheuristik Rucksackproblem Tourenplanung Prozessmanagement Logistik |
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