Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Автор: Lijuan Li; Feng Liu Название: Group Search Optimization for Applications in Structural Design ISBN: 3642268471 ISBN-13(EAN): 9783642268472 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading experts, this book contains recent research on group search optimization with applications in structural design. It details the latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm.
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: Ivan Zelinka; Pandian Vasant; Vo Hoang Duy; Tran T Название: Innovative Computing, Optimization and Its Applications ISBN: 3319669834 ISBN-13(EAN): 9783319669830 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Описание: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.
Описание: This book reports on advancedtheories and cutting-edge applications in the field of soft computing. Theindividual chapters, written by leading researchers, are based on contributionspresented during the 4th World Conference on Soft Computing, held May 25-27,2014, in Berkeley. The book covers a wealth of key topics in soft computing,focusing on both fundamental aspects and applications. The former include fuzzymathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregationand neural networks, while the latter include soft computing in data analysis,image processing, decision-making, classification, series prediction,economics, control, and modeling. By providing readers with a timely,authoritative view on the field, and by discussing thought-provokingdevelopments and challenges, the book will foster new research directions inthe diverse areas of soft computing.
Описание: This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services.
Описание: Preface.- PART I: Adjoint Methods for Optimisation, Mesh Adaptation and Uncertainty Quantification.- Gradient projection, constraints and surface regularization methods in adjoint shape optimization, by Pavlos P. Alexias and Eugene De Villiers.- Adjoint Shape Optimisation using model Boundary Representation, by E. Andres-Perez et al..- CAD and Adjoint based Multipoint Optimization of an Axial Turbine Profile, by Ismael Sanchez Torreguitart, Tom Verstraete, and Lasse Mueller.- A Comparative Study of Two Different CAD-Based Mesh Deformation Methods for Structural Shape Optimization, by Marc Schwalbach, Tom Verstraete, Jens-Dominik Miller, and Nicolas R. Gauger.- Node-based Adjoint Surface Optimization of U-bend duct for pressure loss reduction, by Giacomo Alessi, Lilla Koloszar, Tom Verstraete, and J. van Beeck.- On the Properties of Solutions of the 2D Adjoint Euler Equations, by Carlos Lozano.- Finite Transformation Rigid Motion Mesh Morpher, by Athanasios G. Liatsikouras, Guillaume Pierrot, Gabriel Fougeron, and George S. Eleftheriou.- The Unsteady Continuous Adjoint Method Assisted by the Proper Generalized Decomposition Method, by V. S. Papageorgiou, K. D. Samouchos and K. C. Giannakoglou.- A Two-Step Mesh Adaptation Tool Based on RBF with application to turbomachinery Optimization Loops, by Flavio Gagliardi, Konstantinos T. Tsiakas and Kyriakos C. Giannakoglou.- Adjoint-based Aerodynamic Optimisation of Wing Shape Using Non-Uniform Rational B-splines, by Xingchen Zhang, Rejish Jesudasan and Jens-Dominik Mьller.- PART II: Surrogate-assisted Optimization of Real World problems.- A comparative evaluation of surrogate models for transonic wing shape optimization, by Emiliano Iuliano.- Study of the influence of the initial a-priori training dataset size in the efficiency and convergence of surrogate-based evolutionary optimization, by Daniel Gonzalez Juarez and Esther Andres Perez.- Garteur AD/AG52: Surrogate-based global optimization methods in preliminary aerodynamic design, by E. Andres-Perez et al..- A Response Surface Based Strategy for Accelerated Compressor Map Computation, by Dmitrij Ivanov, Dieter Bestle, and Christian Janke.- Surrogate-Based Shape Optimization of the ERCOFTAC Centrifugal Pump Impeller, by Remo De Donno and Stefano Rebay and Antonio Ghidoni.- CFD based Design Optimization of a Cabinet Nitrogen Generator, by Bбrbara Arizmendi Gutiйrrez and Edmondo Minisci.- Delaunay-based global optimization in nonconvex domains defined by hidden constraints, by Shahrouz Ryan Alimo, Pooriya Beyhaghi, and Thomas R. Bewley.- PART III: Applications of optimization in engineering design automation.- Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter, by Manuel Acosta and Stratis Kanarachos.- On Combinatorial Problem Representation based Ascent Assembly Design Optimization, by Michael Hellwig, Doris Entner, Thorsten Prante, Alexandru-Ciprian Zavoianu, Martin Schwarz, and Klara Fink.- On the Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques, by Alexandru-Ciprian Ziivoianu, Susanne Saminger-Platz, Doris Entner, Thorsten Prante, Michael Hellwig, Martin Schwarz, and Klara Fink.- Taking Advantage of 3D Printing so as to Simultaneously Reduce Weight and Mechanical Bonding Stress, by Markus Schatz, Robert Schweikle, Christian Lausch, Michael Jentsch and Werner Konrad.- Interactive Optimization of Path Planning for a Robot Enabled by Virtual Commissioning, by Ruth Fleisch, Doris Entner, Thorsten Prante, Reinhard Pfefferkorn.- Box-Type Boom Design using Surrogate Modeling: Introducing an Industrial Optimization Benchmark, by Philipp Fleck, Doris Entner, Clemens Munzer, Michael Kommenda, Thorsten Prante, Martin Schwarz, Martin Hachl, and Michael Affenzeller.- Knowledge Objects Enable Mass-Individualization, by Joel Johansson and Fredrik Elgh.- Free-form Optimization of a Shell Structure with Curvature Constraint,
Описание: This book introduces readers to the "Jaya" algorithm, an advanced optimization technique that can be applied to many physical and engineering systems.
Автор: Koro?ec Название: Bioinspired Optimization Methods and Their Applications ISBN: 3319916408 ISBN-13(EAN): 9783319916408 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Optimization of Home Care Visits Schedule by Genetic Algorithm.- New Techniques for Inferring L-systems Using Genetic Algorithm.- An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization.- Scrum Task Allocation Based on Particle Swarm Optimization.- Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems.- Collaborative Agent Teams (CAT): from the Paradigm to Implementation Guidelines.- A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics.- Constructive Metaheuristics for the Set Covering Problem.- Single and multiobjective evolutionary algorithms for clustering biomedical information with unknown number of clusters.- Evolutionary algorithms for scheduling of crude oil preheating process under linear fouling.- Hybrid weighted barebones exploiting particle swarm optimization algorithm for time series representation.- Data-driven Preference-based Deep Statistical Ranking for Comparing.- sMulti-Objective Optimization Algorithms.- Construction of heuristic for protein structure optimization using deep reinforcement learning.- Comparing Boundary Control Methods for Firefly Algorithm.- A New Binary Encoding Scheme in Genetic Algorithm for Solving the Capacitated Vehicle Routing Problem.- Ensemble and Fuzzy techniques applied to Imbalanced Traffic Congestion Datasets: a Comparative Study.- Multi-Objective Design of Time-Constrained Bike Routes using Bio-inspired Meta-Heuristics.- Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization.- Path Planning Optimization Method Based on Genetic Algorithm for Mapping Toxic Environment.- Tuning Multi-Objective Optimization Algorithms for the Integration and Testing Order Problem.- Surrogate-Assisted Particle Swarm with Local Search for Expensive Constrained Optimization.- Indicator-based versus Aspect-based Selection in Multi- and Many-objective Biochemical Optimization.- An Approach for Recovering Distributed Systems from Disasters.- Population Diversity Analysis for the Chaotic based Selection of Individuals in Differential Evolution.- Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does it work?.- How Distance based Parameter Adaptation Affects Population Diversity.- Collaborative Variable Neighborhood Search.
Описание: This volume presents ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications. The text consists of contributions from worldwide experts who are working in these exciting areas.
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