Advances in Multi-Objective Nature Inspired Computing:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
|
| Series: | Studies in Computational Intelligence
272 |
| Subjects: | |
| Online Access: | BTU01 FHI01 FHN01 FHR01 Volltext |
| Item Description: | The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783642112188 |
| DOI: | 10.1007/978-3-642-11218-8 |
Staff View
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| 505 | 0 | |a Multi-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization -- On the Velocity Update in Multi-Objective Particle Swarm Optimizers -- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objective Metaheuristic for Disaster Relief Operation Planning | |
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Record in the Search Index
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| any_adam_object | |
| author | Coello Coello, Carlos A. |
| author_facet | Coello Coello, Carlos A. |
| author_role | aut |
| author_sort | Coello Coello, Carlos A. |
| author_variant | c c a c cca ccac |
| building | Verbundindex |
| bvnumber | BV041889721 |
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| collection | ZDB-2-ENG |
| contents | Multi-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization -- On the Velocity Update in Multi-Objective Particle Swarm Optimizers -- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objective Metaheuristic for Disaster Relief Operation Planning |
| ctrlnum | (OCoLC)643090737 (DE-599)BVBBV041889721 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| doi_str_mv | 10.1007/978-3-642-11218-8 |
| format | Electronic eBook |
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| id | DE-604.BV041889721 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:07:33Z |
| institution | BVB |
| isbn | 9783642112188 |
| language | English |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Studies in Computational Intelligence |
| spelling | Coello Coello, Carlos A. Verfasser aut Advances in Multi-Objective Nature Inspired Computing edited by Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan Berlin, Heidelberg Springer Berlin Heidelberg 2010 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Studies in Computational Intelligence 272 The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems Multi-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization -- On the Velocity Update in Multi-Objective Particle Swarm Optimizers -- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objective Metaheuristic for Disaster Relief Operation Planning Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Mehrkriterielle Optimierung (DE-588)4610682-0 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Metaheuristik (DE-588)4820176-5 gnd rswk-swf Kombinatorische Optimierung (DE-588)4031826-6 gnd rswk-swf Kombinatorische Optimierung (DE-588)4031826-6 s Mehrkriterielle Optimierung (DE-588)4610682-0 s Metaheuristik (DE-588)4820176-5 s Evolutionärer Algorithmus (DE-588)4366912-8 s 1\p DE-604 Dhaenens, Clarisse Sonstige oth Jourdan, Laetitia Sonstige oth Erscheint auch als Druckausgabe 978-3-642-11217-1 https://doi.org/10.1007/978-3-642-11218-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Coello Coello, Carlos A. Advances in Multi-Objective Nature Inspired Computing Multi-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization -- On the Velocity Update in Multi-Objective Particle Swarm Optimizers -- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objective Metaheuristic for Disaster Relief Operation Planning Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Metaheuristik (DE-588)4820176-5 gnd Kombinatorische Optimierung (DE-588)4031826-6 gnd |
| subject_GND | (DE-588)4610682-0 (DE-588)4366912-8 (DE-588)4820176-5 (DE-588)4031826-6 |
| title | Advances in Multi-Objective Nature Inspired Computing |
| title_auth | Advances in Multi-Objective Nature Inspired Computing |
| title_exact_search | Advances in Multi-Objective Nature Inspired Computing |
| title_full | Advances in Multi-Objective Nature Inspired Computing edited by Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan |
| title_fullStr | Advances in Multi-Objective Nature Inspired Computing edited by Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan |
| title_full_unstemmed | Advances in Multi-Objective Nature Inspired Computing edited by Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan |
| title_short | Advances in Multi-Objective Nature Inspired Computing |
| title_sort | advances in multi objective nature inspired computing |
| topic | Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Metaheuristik (DE-588)4820176-5 gnd Kombinatorische Optimierung (DE-588)4031826-6 gnd |
| topic_facet | Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Mehrkriterielle Optimierung Evolutionärer Algorithmus Metaheuristik Kombinatorische Optimierung |
| url | https://doi.org/10.1007/978-3-642-11218-8 |
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