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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 | ||
| ||