Configurable Intelligent Optimization Algorithm, Fei Tao; Lin Zhang; Yuanjun Laili
Автор: Fei Tao; Lin Zhang; Yuanjun Laili Название: Configurable Intelligent Optimization Algorithm ISBN: 3319380419 ISBN-13(EAN): 9783319380414 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes.
Автор: Roberto Battiti; Mauro Brunato; Franco Mascia Название: Reactive Search and Intelligent Optimization ISBN: 1441934995 ISBN-13(EAN): 9781441934994 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the main principles of reactive search and intelligent optimization and clearly shows how they can be used in problem solving. The book will be of interest to anyone working in the meta-heuristics.
Автор: Aboul-Ella Hassanien; Crina Grosan; Mohamed Fahmy Название: Applications of Intelligent Optimization in Biology and Medicine ISBN: 3319355694 ISBN-13(EAN): 9783319355696 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A simplex Nelder Mead Genetic Algorithm for Minimizing Molecular Potential Energy Function.- A Survey of Metaheuristics Methods for Bioinformatics Applications.- DNA Based Steganography: Survey and Analysis for Parameters Optimization.- Dental Image Registration Using Particle Swarm Optimized for Thin Plate Splines from Semi-Automatic.- A Modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems.- Optimization Methods for Medical Image Super Resolution Reconstruction.- PCA-PNN and PCA-SVM based CAD Systems for Breast Density Classification.- Retinal Blood Vessels Segmentation Based on Bio-Inspired Algorithm.- Systematic Analysis of Applied Data Mining Based Optimization Algorithms in Clinical Attribute Extraction and Classification for Diagnosis of Cardiac Patients.- Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation.- Enhanced Prediction of DNA-Binding Proteins and Classes.- MEDLINE Text Mining: An Enhancement Genetic Algorithm based Approach for Document Clustering.- Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms.
Автор: R. Venkata Rao Название: Teaching Learning Based Optimization Algorithm ISBN: 3319227319 ISBN-13(EAN): 9783319227313 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teaching Learning Based Optimization Algorithm
Автор: R. Venkata Rao Название: Teaching Learning Based Optimization Algorithm ISBN: 3319371304 ISBN-13(EAN): 9783319371306 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to optimization.- Advanced optimization techniques.- Elitist and Modified TLBO algorithms.- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions.- Design optimization of heat exchangers.- Design optimization of rotary regenerators.- Design optimization of cooling tower.- Optimization of combined Brayton and inverse Brayton cycle.- Design optimization of two-stage thermoelectric cooler.- Process parameter optimization of manufacturing processes using TLBO algorithm.- Design optimization of machine elements using TLBO algorithm and its versions.- Applications of TLBO algorithm in electrical engineering discipline.- Applications of TLBO algorithm in computer engineering discipline.- Applications of TLBO algorithm in civil and structural engineering disciplines.- Concluding remarks.
Описание: The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
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