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Handbook of research on predictive modeling and optimization methods in science and engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of research on predictive modeling and optimization methods in science and engineering/ Dookie Kim, Sanjiban Sekhar Roy, Tim L{uml}ansivaara, Ravinesh Deo, and Pijush Samui, editors.
remainder title:	Predictive modeling and optimization methods in science and engineering
other author:	Kim, Dookie,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xxvi, 618 p.)
[NT 15003449]:	Chapter 1. A comparative study for locating critical failure surface in slope stability analysis via meta-heuristic approach -- Chapter 2. Adaptive refined-model-based approach for robust design optimization -- Chapter 3. An optimum tuning application of mass dampers considering soil-structure interaction: metaheuristic-based optimization of TMDs -- Chapter 4. Flood forecasting and uncertainty assessment using wavelet- and bootstrap-based neural networks -- Chapter 5. Grouping concept in optimum sizing of truss structures: optimization of truss structures -- Chapter 6. Hybrid data intelligent models and applications for water level prediction -- Chapter 7. Implementation of genetic-algorithm-based forecasting model to power system problems -- Chapter 8. Improvement of RSM prediction and optimization by using box-cox transformation: separation of colloidal contaminants from mineral processing effluents via electrocoagulation -- Chapter 9. Long-term degradation-based modeling and optimization framework -- Chapter 10. Multi-objective optimization of slope stability using wedge analysis and genetic algorithm -- Chapter 11. Multi-performance optimization in friction stir welding of aluminum alloy using response surface methodology -- Chapter 12. Multiscale modelling of daily suspended sediment load using MEMD-SLR coupled approach -- Chapter 13. Optimization of pile groups under vertical loads using metaheuristic algorithms -- Chapter 14. Optimization of the angle of twist of propeller using modified flower pollination algorithm -- Chapter 15. Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model -- Chapter 16. Optimum design of reinforced concrete retaining walls -- Chapter 17. Predicting human actions using a hybrid of relieff feature selection and kernel-based extreme learning machine -- Chapter 18. Predictive modeling and optimization of cutting forces through RSM and taguchi techniques in the turning of ASTM b574 (Hastelloy c-22) -- Chapter 19. Robust design of helicopter rotor flaps using bat algorithm -- Chapter 20. Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models -- Chapter 21. Soil cation exchange capacity predicted by learning from multiple modelling: forming multiple models run by SVM to learn from ANN and its hybrid with firefly algorithm -- Chapter 22. Usage of differential evolution algorithm in the calibration of parametric rainfall-runoff modeling -- Chapter 23. Whale optimization algorithm with wavelet mutation for the solution of optimal power flow problem.
Subject:	Engineering models. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4766-2
ISBN:	9781522547679 (e-book)

Handbook of research on predictive modeling and optimization methods in science and engineering
Handbook of research on predictive modeling and optimization methods in science and engineering[electronic resource] /Predictive modeling and optimization methods in science and engineeringDookie Kim, Sanjiban Sekhar Roy, Tim L{uml}ansivaara, Ravinesh Deo, and Pijush Samui, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxvi, 618 p.)

Includes bibliographical references and index.

Chapter 1. A comparative study for locating critical failure surface in slope stability analysis via meta-heuristic approach -- Chapter 2. Adaptive refined-model-based approach for robust design optimization -- Chapter 3. An optimum tuning application of mass dampers considering soil-structure interaction: metaheuristic-based optimization of TMDs -- Chapter 4. Flood forecasting and uncertainty assessment using wavelet- and bootstrap-based neural networks -- Chapter 5. Grouping concept in optimum sizing of truss structures: optimization of truss structures -- Chapter 6. Hybrid data intelligent models and applications for water level prediction -- Chapter 7. Implementation of genetic-algorithm-based forecasting model to power system problems -- Chapter 8. Improvement of RSM prediction and optimization by using box-cox transformation: separation of colloidal contaminants from mineral processing effluents via electrocoagulation -- Chapter 9. Long-term degradation-based modeling and optimization framework -- Chapter 10. Multi-objective optimization of slope stability using wedge analysis and genetic algorithm -- Chapter 11. Multi-performance optimization in friction stir welding of aluminum alloy using response surface methodology -- Chapter 12. Multiscale modelling of daily suspended sediment load using MEMD-SLR coupled approach -- Chapter 13. Optimization of pile groups under vertical loads using metaheuristic algorithms -- Chapter 14. Optimization of the angle of twist of propeller using modified flower pollination algorithm -- Chapter 15. Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model -- Chapter 16. Optimum design of reinforced concrete retaining walls -- Chapter 17. Predicting human actions using a hybrid of relieff feature selection and kernel-based extreme learning machine -- Chapter 18. Predictive modeling and optimization of cutting forces through RSM and taguchi techniques in the turning of ASTM b574 (Hastelloy c-22) -- Chapter 19. Robust design of helicopter rotor flaps using bat algorithm -- Chapter 20. Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models -- Chapter 21. Soil cation exchange capacity predicted by learning from multiple modelling: forming multiple models run by SVM to learn from ANN and its hybrid with firefly algorithm -- Chapter 22. Usage of differential evolution algorithm in the calibration of parametric rainfall-runoff modeling -- Chapter 23. Whale optimization algorithm with wavelet mutation for the solution of optimal power flow problem.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the latest development of optimization techniques. It shows the application of optimization in new fields such as big data, artificial intelligence, etc. The application of hybrid optimization techniques and stochastic optimization are explored"--Provided by publisher.

ISBN: 9781522547679 (e-book)Subjects--Topical Terms:

650227
Engineering models.

LC Class. No.: TA177 / .H35 2018e

Dewey Class. No.: 620.001/5196

Handbook of research on predictive modeling and optimization methods in science and engineering
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245 0 0 $a Handbook of research on predictive modeling and optimization methods in science and engineering $h [electronic resource] / $c Dookie Kim, Sanjiban Sekhar Roy, Tim L{uml}ansivaara, Ravinesh Deo, and Pijush Samui, editors.
246 3 0 $a Predictive modeling and optimization methods in science and engineering
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxvi, 618 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A comparative study for locating critical failure surface in slope stability analysis via meta-heuristic approach -- Chapter 2. Adaptive refined-model-based approach for robust design optimization -- Chapter 3. An optimum tuning application of mass dampers considering soil-structure interaction: metaheuristic-based optimization of TMDs -- Chapter 4. Flood forecasting and uncertainty assessment using wavelet- and bootstrap-based neural networks -- Chapter 5. Grouping concept in optimum sizing of truss structures: optimization of truss structures -- Chapter 6. Hybrid data intelligent models and applications for water level prediction -- Chapter 7. Implementation of genetic-algorithm-based forecasting model to power system problems -- Chapter 8. Improvement of RSM prediction and optimization by using box-cox transformation: separation of colloidal contaminants from mineral processing effluents via electrocoagulation -- Chapter 9. Long-term degradation-based modeling and optimization framework -- Chapter 10. Multi-objective optimization of slope stability using wedge analysis and genetic algorithm -- Chapter 11. Multi-performance optimization in friction stir welding of aluminum alloy using response surface methodology -- Chapter 12. Multiscale modelling of daily suspended sediment load using MEMD-SLR coupled approach -- Chapter 13. Optimization of pile groups under vertical loads using metaheuristic algorithms -- Chapter 14. Optimization of the angle of twist of propeller using modified flower pollination algorithm -- Chapter 15. Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model -- Chapter 16. Optimum design of reinforced concrete retaining walls -- Chapter 17. Predicting human actions using a hybrid of relieff feature selection and kernel-based extreme learning machine -- Chapter 18. Predictive modeling and optimization of cutting forces through RSM and taguchi techniques in the turning of ASTM b574 (Hastelloy c-22) -- Chapter 19. Robust design of helicopter rotor flaps using bat algorithm -- Chapter 20. Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models -- Chapter 21. Soil cation exchange capacity predicted by learning from multiple modelling: forming multiple models run by SVM to learn from ANN and its hybrid with firefly algorithm -- Chapter 22. Usage of differential evolution algorithm in the calibration of parametric rainfall-runoff modeling -- Chapter 23. Whale optimization algorithm with wavelet mutation for the solution of optimal power flow problem.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the latest development of optimization techniques. It shows the application of optimization in new fields such as big data, artificial intelligence, etc. The application of hybrid optimization techniques and stochastic optimization are explored"--Provided by publisher.
650 0 $a Engineering models. $3 650227
650 0 $a System design. $3 518843
650 0 $a Prediction theory $x Mathematics. $3 3395725
650 0 $a Mathematical optimization. $3 517763
700 1 $a Kim, Dookie, $d 1969- $e editor. $3 3231452
700 1 $a Roy, Sanjiban Sekhar, $e editor. $3 3395722
700 1 $a L{uml}ansivaara, Tim, $e editor. $3 3395723
700 1 $a Deo, Ravinesh, $e editor. $3 3395724
700 1 $a Samui, Pijush, $d 1978- $e editor. $3 3231450
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4766-2