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Advances in metaheuristics : applications in engineering systems / / Timothy Ganesan, PhD, Pandian Vasant, PhD, Irraivan Elamvazuthi, PhD
| Advances in metaheuristics : applications in engineering systems / / Timothy Ganesan, PhD, Pandian Vasant, PhD, Irraivan Elamvazuthi, PhD |
| Autore | Ganesan Timothy |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2017] |
| Descrizione fisica | 1 online resource (234 pages) |
| Disciplina | 620.00285/63 |
| Soggetto topico |
Industrial engineering - Mathematics
Electric power systems - Mathematics Materials science - Mathematics Mathematical optimization Heuristic algorithms |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-315-29763-9
1-315-29765-5 1-315-29764-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part I. Energy systems -- part II. Process optimization -- part III. Material engineering. |
| Record Nr. | UNINA-9910153185703321 |
Ganesan Timothy
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| Boca Raton : , : CRC Press, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Heuristic search [[electronic resource] ] : theory and applications / / Stefan Edelkamp, Stefan Schrödl
| Heuristic search [[electronic resource] ] : theory and applications / / Stefan Edelkamp, Stefan Schrödl |
| Autore | Edelkamp Stefan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 |
| Descrizione fisica | 1 online resource (865 p.) |
| Disciplina | 005.1/1 |
| Altri autori (Persone) | SchrödlStefan |
| Soggetto topico | Heuristic algorithms |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-13395-4
9786613133953 0-08-091973-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: PART I Heuristic Search Primer Chapter 1 Introduction Chapter 2 Basic Search Algorithms Chapter 3 Dictionary Data Structures Chapter 4 Automatically Created Heuristics PART II Heuristic Search under Memory Constraints Chapter 5 Linear-Space Search Chapter 6 Memory Restricted Search Chapter 7 Symbolic Search Chapter 8 External Search PART III Heuristic Search under Time Constraints Chapter 9 Distributed Search Chapter 10 State Space Pruning Chapter 11 Real-Time Search by Sven Koenig PART IV Heuristic Search Variants Chapter 12 Adversary Search Chapter 13 Constraint Search Chapter 14 Selective Search PART V Heurstic Search Applications Chapter 15 Action Planning Chapter 16 Automated System Verification Chapter 17 Vehicle Navigation Chapter 18 Computational Biology Chapter 19 Robotics by Sven Koenig. |
| Record Nr. | UNINA-9910460896603321 |
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Edelkamp Stefan
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| Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Heuristic search [[electronic resource] ] : theory and applications / / Stefan Edelkamp, Stefan Schrödl
| Heuristic search [[electronic resource] ] : theory and applications / / Stefan Edelkamp, Stefan Schrödl |
| Autore | Edelkamp Stefan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 |
| Descrizione fisica | 1 online resource (865 p.) |
| Disciplina | 005.1/1 |
| Altri autori (Persone) | SchrödlStefan |
| Soggetto topico | Heuristic algorithms |
| ISBN |
1-283-13395-4
9786613133953 0-08-091973-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: PART I Heuristic Search Primer Chapter 1 Introduction Chapter 2 Basic Search Algorithms Chapter 3 Dictionary Data Structures Chapter 4 Automatically Created Heuristics PART II Heuristic Search under Memory Constraints Chapter 5 Linear-Space Search Chapter 6 Memory Restricted Search Chapter 7 Symbolic Search Chapter 8 External Search PART III Heuristic Search under Time Constraints Chapter 9 Distributed Search Chapter 10 State Space Pruning Chapter 11 Real-Time Search by Sven Koenig PART IV Heuristic Search Variants Chapter 12 Adversary Search Chapter 13 Constraint Search Chapter 14 Selective Search PART V Heurstic Search Applications Chapter 15 Action Planning Chapter 16 Automated System Verification Chapter 17 Vehicle Navigation Chapter 18 Computational Biology Chapter 19 Robotics by Sven Koenig. |
| Record Nr. | UNINA-9910789425503321 |
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Edelkamp Stefan
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| Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Heuristic search : theory and applications / / Stefan Edelkamp, Stefan Schrödl
| Heuristic search : theory and applications / / Stefan Edelkamp, Stefan Schrödl |
| Autore | Edelkamp Stefan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 |
| Descrizione fisica | 1 online resource (865 p.) |
| Disciplina |
005.1/1
005.11 |
| Altri autori (Persone) | SchrödlStefan |
| Soggetto topico | Heuristic algorithms |
| ISBN |
1-283-13395-4
9786613133953 0-08-091973-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: PART I Heuristic Search Primer Chapter 1 Introduction Chapter 2 Basic Search Algorithms Chapter 3 Dictionary Data Structures Chapter 4 Automatically Created Heuristics PART II Heuristic Search under Memory Constraints Chapter 5 Linear-Space Search Chapter 6 Memory Restricted Search Chapter 7 Symbolic Search Chapter 8 External Search PART III Heuristic Search under Time Constraints Chapter 9 Distributed Search Chapter 10 State Space Pruning Chapter 11 Real-Time Search by Sven Koenig PART IV Heuristic Search Variants Chapter 12 Adversary Search Chapter 13 Constraint Search Chapter 14 Selective Search PART V Heurstic Search Applications Chapter 15 Action Planning Chapter 16 Automated System Verification Chapter 17 Vehicle Navigation Chapter 18 Computational Biology Chapter 19 Robotics by Sven Koenig. |
| Record Nr. | UNINA-9910825454203321 |
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Edelkamp Stefan
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| Amsterdam ; ; Boston, : Morgan Kaufmann, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Heuristics and Hyper-Heuristics : Principles and Applications / / edited by Javier Del Ser Lorente
| Heuristics and Hyper-Heuristics : Principles and Applications / / edited by Javier Del Ser Lorente |
| Pubbl/distr/stampa | Rijeka : , : IntechOpen, , 2017 |
| Descrizione fisica | 1 online resource (136 pages) : illustrations |
| Disciplina | 005.1 |
| Soggetto topico | Heuristic algorithms |
| ISBN |
953-51-4677-7
953-51-3384-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Heuristics and hyper-heuristics |
| Record Nr. | UNINA-9910251419703321 |
| Rijeka : , : IntechOpen, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill
| Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill |
| Autore | Reis Pinheiro Carlos Andre <1940-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] |
| Descrizione fisica | 1 online resource (254 p.) |
| Disciplina | 658.4/033 |
| Altri autori (Persone) | McNeillFiona |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Management - Statistical methods
Decision making - Statistical methods Business planning - Statistical methods Heuristic algorithms System analysis |
| ISBN |
1-118-41674-0
1-118-43426-9 1-118-42022-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; The Monty Hall Problem; Evolving Analytics; The Business Relevance of Analytics; The Role of Analytics in Innovation; Innovation in a Changing World; Summary; Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World; Heuristics Concepts; Heuristics in Operations; The Butterfly Effect; Random Walks; The Drunkard's Walk; Probability and Chance; Summary
Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary Chapter 5: Knowledge Applications That Solve Business Problems Customer Behavior Segmentation; Collection Models; Insolvency Segmentation; Collection Notice Recovery; Anticipating Revenue from Collection Actions; Insolvency Prevention; Bad-Debt Classification; Avoiding Taxes; Fraud-Propensity Models; New Fraud Detection; Classifying Fraudulent Usage Behavior; Summary; Chapter 6: The Graph Analysis Approach; Introduction to Graph Analysis; Graphs Structures, Network Metrics, and Analyses Approaches; Network Metrics; Types of Subgraphs; Summary; Chapter 7: Graph Analysis Case Studies Case Study: Identifying Influencers in Telecommunications Background in Churn and Sales; Internal Networks; Customer Influence; Customer Influence and Business Event Correlation; Possible Business Applications and Final Figures in Churn and Sales; Case Study: Claim Validity Detection in Motor Insurance; Background in Insurance and Claims; Network Definition; Participant Networks; Group Analysis; Identifying Outliers; Final Figures in Claims; Visualizing for More Insight; Final Figures in Insurance Exaggeration; Case Study: Fraud Identification in Mobile Operations Background in Telecommunications Fraud Social Networks and Fraud; Community Detection; Finding the Outliers within Communities; Rules and Thresholds for Community Outliers; Fraudster Visualization; Final Figures in Fraud; Summary; Chapter 8: Text Analytics; Text Analytics in the Competitive-Intelligence Cycle; Information Revisited; Knowledge Revisited; Linguistic Models; Text-Mining Models; Intelligence Revisited; Experience Revisited; Summary; Bibliography; Index |
| Record Nr. | UNINA-9910140289803321 |
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Reis Pinheiro Carlos Andre <1940->
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||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill
| Heuristics in analytics : a practical perspective of what influences our analytical world / / Carlos Andre Reis Pinheiro, Fiona McNeill |
| Autore | Reis Pinheiro Carlos Andre <1940-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] |
| Descrizione fisica | 1 online resource (254 p.) |
| Disciplina | 658.4/033 |
| Altri autori (Persone) | McNeillFiona |
| Collana | Wiley & SAS business series |
| Soggetto topico |
Management - Statistical methods
Decision making - Statistical methods Business planning - Statistical methods Heuristic algorithms System analysis |
| ISBN |
1-118-41674-0
1-118-43426-9 1-118-42022-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; The Monty Hall Problem; Evolving Analytics; The Business Relevance of Analytics; The Role of Analytics in Innovation; Innovation in a Changing World; Summary; Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World; Heuristics Concepts; Heuristics in Operations; The Butterfly Effect; Random Walks; The Drunkard's Walk; Probability and Chance; Summary
Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary Chapter 5: Knowledge Applications That Solve Business Problems Customer Behavior Segmentation; Collection Models; Insolvency Segmentation; Collection Notice Recovery; Anticipating Revenue from Collection Actions; Insolvency Prevention; Bad-Debt Classification; Avoiding Taxes; Fraud-Propensity Models; New Fraud Detection; Classifying Fraudulent Usage Behavior; Summary; Chapter 6: The Graph Analysis Approach; Introduction to Graph Analysis; Graphs Structures, Network Metrics, and Analyses Approaches; Network Metrics; Types of Subgraphs; Summary; Chapter 7: Graph Analysis Case Studies Case Study: Identifying Influencers in Telecommunications Background in Churn and Sales; Internal Networks; Customer Influence; Customer Influence and Business Event Correlation; Possible Business Applications and Final Figures in Churn and Sales; Case Study: Claim Validity Detection in Motor Insurance; Background in Insurance and Claims; Network Definition; Participant Networks; Group Analysis; Identifying Outliers; Final Figures in Claims; Visualizing for More Insight; Final Figures in Insurance Exaggeration; Case Study: Fraud Identification in Mobile Operations Background in Telecommunications Fraud Social Networks and Fraud; Community Detection; Finding the Outliers within Communities; Rules and Thresholds for Community Outliers; Fraudster Visualization; Final Figures in Fraud; Summary; Chapter 8: Text Analytics; Text Analytics in the Competitive-Intelligence Cycle; Information Revisited; Knowledge Revisited; Linguistic Models; Text-Mining Models; Intelligence Revisited; Experience Revisited; Summary; Bibliography; Index |
| Record Nr. | UNINA-9910811300003321 |
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Reis Pinheiro Carlos Andre <1940->
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||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran
| Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London, : Elsevier, 2013 |
| Descrizione fisica | 1 online resource (xx, 556 pages) : illustrations (some color) |
| Disciplina | 620.00151964 |
| Collana |
Elsevier insights
Gale eBooks |
| Soggetto topico |
Engineering design - Mathematical models
Engineering - Statistical methods Heuristic algorithms |
| ISBN |
0-12-398379-7
1-299-19305-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Metaheuristic Applications in Structures and Infrastructures; Copyright Page; Contents; List of Contributors; 1 Metaheuristic Algorithms in Modeling and Optimization; 1.1 Introduction; 1.2 Metaheuristic Algorithms; 1.2.1 Characteristics of Metaheuristics; 1.2.2 No Free Lunch Theorems; 1.3 Metaheuristic Algorithms in Modeling; 1.3.1 Artificial Neural Networks; 1.3.1.1 Multilayer Perceptron Network; 1.3.1.2 Radial Basis Function; 1.3.2 Genetic Programming; 1.3.2.1 Linear-Based GP; 1.3.2.1.1 Linear Genetic Programming; 1.3.2.1.2 Gene Expression Programming
1.3.2.1.3 Multiexpression Programming1.3.3 Fuzzy Logic; 1.3.4 Support Vector Machines; 1.4 Metaheuristic Algorithms in Optimization; 1.4.1 Evolutionary Algorithms; 1.4.1.1 Genetic Algorithm; 1.4.1.2 Differential Evolution; 1.4.1.3 Harmony Search; 1.4.2 Swarm-Intelligence-Based Algorithms; 1.4.2.1 Particle Swarm Optimization; 1.4.2.2 Ant Colony Optimization; 1.4.2.3 Bee Algorithms; 1.4.2.4 Firefly Algorithm; 1.4.2.5 Cuckoo Search; 1.4.2.6 Bat Algorithm; 1.4.2.7 Charged System Search; 1.4.2.8 Krill Herd; 1.5 Challenges in Metaheuristics; References 2 A Review on Traditional and Modern Structural Optimization: Problems and Techniques2.1 Optimization Problems; 2.2 Optimization Techniques; 2.3 Optimization History; 2.4 Structural Optimization; 2.4.1 General Concept; 2.4.2 Major Advances in Structural Optimization; 2.4.3 OC Methods; 2.4.4 Reliability-Based Optimization Approach; 2.4.5 Fuzzy Optimization; 2.5 Metaheuristic Optimization Techniques; 2.5.1 Genetic Algorithm; 2.5.2 Simulated Annealing; 2.5.3 Tabu Search; 2.5.4 Ant Colony Optimization; 2.5.5 Particle Swarm Optimization; 2.5.6 Harmony Search; 2.5.7 Big Bang-Big Crunch 2.5.8 Firefly Algorithm2.5.9 Cuckoo Search; 2.5.10 Other Metaheuristics; References; 3 Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review; 3.1 Introduction; 3.2 Particle Swarm Optimization; 3.3 Structural Engineering; 3.3.1 Shape and Size Optimization Problems in Structural Design; 3.3.2 Structural Condition Assessment and Health Monitoring; 3.3.3 Structural Material Characterization and Modeling; 3.3.4 Other PSO Applications in Structural Engineering; 3.4 Transportation and Traffic Engineering; 3.4.1 Transportation Network Design 3.4.2 Traffic Flow Forecasting3.4.3 Traffic Control; 3.4.4 Traffic Accident Forecasting; 3.4.5 Vehicle Routing Problem; 3.4.6 Other PSO Application in Transportation and Traffic Engineering; 3.5 Hydraulics and Hydrology; 3.5.1 River Stage Prediction; 3.5.2 Design Optimization of Water/Wastewater Distribution Networks; 3.5.3 Reservoir Operation Problems; 3.5.4 Parameter Estimation/Calibration of Hydrological Models; 3.5.5 Other PSO Applications in Hydraulics and Hydrology; 3.6 Construction Engineering; 3.6.1 Construction Planning and Management; 3.6.2 Construction Litigation 3.6.3 Construction Cost Estimation and Prediction |
| Record Nr. | UNINA-9910786137003321 |
| London, : Elsevier, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran
| Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London, : Elsevier, 2013 |
| Descrizione fisica | 1 online resource (xx, 556 pages) : illustrations (some color) |
| Disciplina | 620.00151964 |
| Collana |
Elsevier insights
Gale eBooks |
| Soggetto topico |
Engineering design - Mathematical models
Engineering - Statistical methods Heuristic algorithms |
| ISBN |
0-12-398379-7
1-299-19305-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Metaheuristic Applications in Structures and Infrastructures; Copyright Page; Contents; List of Contributors; 1 Metaheuristic Algorithms in Modeling and Optimization; 1.1 Introduction; 1.2 Metaheuristic Algorithms; 1.2.1 Characteristics of Metaheuristics; 1.2.2 No Free Lunch Theorems; 1.3 Metaheuristic Algorithms in Modeling; 1.3.1 Artificial Neural Networks; 1.3.1.1 Multilayer Perceptron Network; 1.3.1.2 Radial Basis Function; 1.3.2 Genetic Programming; 1.3.2.1 Linear-Based GP; 1.3.2.1.1 Linear Genetic Programming; 1.3.2.1.2 Gene Expression Programming
1.3.2.1.3 Multiexpression Programming1.3.3 Fuzzy Logic; 1.3.4 Support Vector Machines; 1.4 Metaheuristic Algorithms in Optimization; 1.4.1 Evolutionary Algorithms; 1.4.1.1 Genetic Algorithm; 1.4.1.2 Differential Evolution; 1.4.1.3 Harmony Search; 1.4.2 Swarm-Intelligence-Based Algorithms; 1.4.2.1 Particle Swarm Optimization; 1.4.2.2 Ant Colony Optimization; 1.4.2.3 Bee Algorithms; 1.4.2.4 Firefly Algorithm; 1.4.2.5 Cuckoo Search; 1.4.2.6 Bat Algorithm; 1.4.2.7 Charged System Search; 1.4.2.8 Krill Herd; 1.5 Challenges in Metaheuristics; References 2 A Review on Traditional and Modern Structural Optimization: Problems and Techniques2.1 Optimization Problems; 2.2 Optimization Techniques; 2.3 Optimization History; 2.4 Structural Optimization; 2.4.1 General Concept; 2.4.2 Major Advances in Structural Optimization; 2.4.3 OC Methods; 2.4.4 Reliability-Based Optimization Approach; 2.4.5 Fuzzy Optimization; 2.5 Metaheuristic Optimization Techniques; 2.5.1 Genetic Algorithm; 2.5.2 Simulated Annealing; 2.5.3 Tabu Search; 2.5.4 Ant Colony Optimization; 2.5.5 Particle Swarm Optimization; 2.5.6 Harmony Search; 2.5.7 Big Bang-Big Crunch 2.5.8 Firefly Algorithm2.5.9 Cuckoo Search; 2.5.10 Other Metaheuristics; References; 3 Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review; 3.1 Introduction; 3.2 Particle Swarm Optimization; 3.3 Structural Engineering; 3.3.1 Shape and Size Optimization Problems in Structural Design; 3.3.2 Structural Condition Assessment and Health Monitoring; 3.3.3 Structural Material Characterization and Modeling; 3.3.4 Other PSO Applications in Structural Engineering; 3.4 Transportation and Traffic Engineering; 3.4.1 Transportation Network Design 3.4.2 Traffic Flow Forecasting3.4.3 Traffic Control; 3.4.4 Traffic Accident Forecasting; 3.4.5 Vehicle Routing Problem; 3.4.6 Other PSO Application in Transportation and Traffic Engineering; 3.5 Hydraulics and Hydrology; 3.5.1 River Stage Prediction; 3.5.2 Design Optimization of Water/Wastewater Distribution Networks; 3.5.3 Reservoir Operation Problems; 3.5.4 Parameter Estimation/Calibration of Hydrological Models; 3.5.5 Other PSO Applications in Hydraulics and Hydrology; 3.6 Construction Engineering; 3.6.1 Construction Planning and Management; 3.6.2 Construction Litigation 3.6.3 Construction Cost Estimation and Prediction |
| Record Nr. | UNINA-9910821150603321 |
| London, : Elsevier, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou
| Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou |
| Autore | Sandou Guillaume |
| Pubbl/distr/stampa | Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 |
| Descrizione fisica | 1 online resource (140 p.) |
| Disciplina | 519.6 |
| Collana | Focus automation and control series |
| Soggetto topico |
Mathematical optimization
Heuristic algorithms |
| ISBN |
1-118-79651-9
1-118-79635-7 1-118-79648-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover ""; ""Title Page ""; ""Contents ""; ""Preface ""; ""Chapter 1. Introduction And Motivations ""; ""1.1. Introduction: automatic control and optimization ""; ""1.2. Motivations to use metaheuristic algorithms ""; ""1.3. Organization of the book ""; ""Chapter 2. Symbolic Regression ""
""2.1. Identification problematic and brief state of the art """"2.2. Problem statement and modeling ""; ""2.2.1. Problem statement ""; ""2.2.2. Problem modeling ""; ""2.3. Ant colony optimization ""; ""2.3.1. Ant colony social behavior ""; ""2.3.2. Ant colony optimization "" ""2.3.3. Ant colony for the identification of nonlinear functions with unknown structure """"2.4. Numerical results ""; ""2.4.1. Parameter settings ""; ""2.4.2. Experimental results ""; ""2.5. Discussion ""; ""2.5.1. Considering real variables ""; ""2.5.2. Local minima "" ""2.5.3. Identification of nonlinear dynamical systems """"2.6. A note on genetic algorithms for symbolic regression ""; ""2.7. Conclusions ""; ""Chapter 3. Pid Design Using Particle Swarm Optimization ""; ""3.1. Introduction ""; ""3.2. Controller tuning: a hard optimization problem "" ""3.2.1. Problem framework """"3.2.2. Expressions of time domain specifications ""; ""3.2.3. Expressions of frequency domain specifications ""; ""3.2.4. Analysis of the optimization problem ""; ""3.3. Particle swarm optimization implementation ""; ""3.4. PID tuning optimization "" ""3.4.1. Case study: magnetic levitation "" |
| Record Nr. | UNINA-9910139015503321 |
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Sandou Guillaume
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| Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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