Автор: Cuevas, Erik , Rodriguez, Alma Название: Metaheuristic Computation with MATLAB® ISBN: 0367438860 ISBN-13(EAN): 9780367438869 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main purpose of this book is to provide a unified view of the most popular metaheuristic methods. Under this perspective, it has presented the fundamental design principles as well as the operators of metaheuristic approaches which are considered essential.
Описание: This book presents a collection of the most recent hybrid methods for image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence.
Автор: Swagatam Das; Ajith Abraham; Amit Konar Название: Metaheuristic Clustering ISBN: 3642100716 ISBN-13(EAN): 9783642100710 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cluster analysis means the organization of an unlabeled collection of objects into separate groups based on their similarity. With the use of several real world examples, this book formulates clustering as an optimization problem.
Автор: Jana Название: A Metaheuristic Approach to Protein Structure Prediction ISBN: 3319747746 ISBN-13(EAN): 9783319747743 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metaheuristic Protein Structure Prediction-An Overview.- Related Works.- Continuous Landscape Analysis using Random Walk Algorithm.- Landscape Characterization and Algorithms Selection for the PSP Problem.- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction.- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms.- Hybrid Metaheuristic Approach for Protein Structure Prediction.- Conclusions and Future Research.
Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Описание: Chapter 1. Introduction: Optimization and Metaheuristics Algorithms.- Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms.- Chapter 3. Tackling Power Quality Issues using Metaheuristics.- Chapter 4. Meta-Heuristic application in Suppression of Noise.- Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering.- Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review.- Chapter 7. Application of Metaheuristics in Power Electronics.- Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications.- Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework.- Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020).
Описание: Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others.
Автор: Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r Название: Optimization of Process Flowsheets through Metaheuristic Techniques ISBN: 3030062848 ISBN-13(EAN): 9783030062842 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process. Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.
Автор: Nanda Dulal Jana; Swagatam Das; Jaya Sil Название: A Metaheuristic Approach to Protein Structure Prediction ISBN: 3030090752 ISBN-13(EAN): 9783030090753 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.
Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques.
Описание: (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations;
Автор: by Ali Kaveh; Armin Dadras Eslamlou Название: Metaheuristic Optimization Algorithms in Civil Engineering ISBN: 303045472X ISBN-13(EAN): 9783030454722 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Optimum stacking sequence design of composite laminates for maximum buckling load capacity.- Optimum Design of Castellated Beams with Composite Action and Semi-Rigid Connection.- Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm.- Geometry and sizing optimization of steel pitched roof frames.- Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms.- The charged system search algorithm for adaptive node moving refinement in discrete least-squares meshless method.- Performance-based multi-objective optimization of large steel structures.- Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms.- Colliding Bodies Optimization Algorithm for Structural Optimization of Offshore Wind Turbines with Frequency Constraints.- Colliding Bodies Optimization for Analysis and Design of Water Distribution Systems.- Optimization of tower crane location and material quantity between supply and demand points.- Optimization of Building Components with SustainabilityAspects in BIM Environment.- Multi-objective optimization of construction site layout.- Multi-objective electrical energy scheduling in smart homes using ant lion optimizer and evidential reasoning
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