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Bioinspired Heuristics for Optimization, Talbi


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Цена: 13974.00р.
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Автор: Talbi
Название:  Bioinspired Heuristics for Optimization
ISBN: 9783319951034
Издательство: Springer
Классификация:

ISBN-10: 3319951033
Обложка/Формат: Hardcover
Страницы: 299
Вес: 0.63 кг.
Дата издания: 2019
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 52 illustrations, color; 45 illustrations, black and white; xiv, 299 p. 97 illus., 52 illus. in color.
Размер: 234 x 156 x 19
Читательская аудитория: General (us: trade)
Основная тема: Computational Intelligence
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software.


Parallel Architectures and Bioinspired Algorithms

Автор: Francisco Fern?ndez de Vega; Jos? Ignacio Hidalgo
Название: Parallel Architectures and Bioinspired Algorithms
ISBN: 3642427367 ISBN-13(EAN): 9783642427367
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

Fuzzy Sets Based Heuristics for Optimization

Автор: Jos?-Luis Verdegay
Название: Fuzzy Sets Based Heuristics for Optimization
ISBN: 3642056113 ISBN-13(EAN): 9783642056116
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

Bioinspired Computation in Combinatorial Optimization

Автор: Frank Neumann; Carsten Witt
Название: Bioinspired Computation in Combinatorial Optimization
ISBN: 3642265847 ISBN-13(EAN): 9783642265846
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.

Bioinspired Optimization Methods and Their Applications

Автор: Koro?ec
Название: Bioinspired Optimization Methods and Their Applications
ISBN: 3319916408 ISBN-13(EAN): 9783319916408
Издательство: Springer
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Цена: 6986.00 р.
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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.

Bioinspired Computation in Artificial Systems

Автор: Jos? Manuel Ferr?ndez Vicente; Jos? Ram?n ?lvarez-
Название: Bioinspired Computation in Artificial Systems
ISBN: 3319188321 ISBN-13(EAN): 9783319188324
Издательство: Springer
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Цена: 8944.00 р.
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Описание: Online Control of Enumeration Strategies via Bat-Inspired Optimization.- LEXMATH - A Tool for the Study of Available Lexicon in Mathematics.- Low-Power Occupancy Sensor for an Ambient Assisted Living System.- Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures.- Genetic Algorithm for the Job-Shop Scheduling with Skilled Operators.- Preliminary Design of the Real-Time Control Software for the Adaptive Optics of AOLI.- Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks.- Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments.- On the Influence of Illumination Quality in 2D Facial Recognition.- A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem.- State Machine Based Architecture to Increase Flexibility of Dual-Arm Robot Programming.- A Cellular Automata Model for Mobile Worm Propagation.- Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training.-. Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms.- Embodied Evolution for Collective Indoor Surveillance and Location.- On the Spectral Clustering for Dynamic Data.- A Multiple-Model Particle Filter Based Method for Slide Detection and Compensation in Road Vehicles.- Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters.- Comparative Study of the Features Used by Algorithms Based on Viola and Jones Face Detection Algorithm.- Experiments of Skin Detection in Hyperspectral Images.- Scene Recognition for Robot Localization in Difficult Environments.- Pyramid Representations of the Set of Actions in Reinforcement Learning.- Related Tasks Selection to Multitask Learning Schemes.- Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures.- Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots.- A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot.- Optimized Representation of 3D Sequences Using Neural Networks.- Object Recognition in Noisy RGB-D Data.- Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification.- A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color.- Robust Control Tuning by PSO of Aerial Robots Hose Transportation.- Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle.- Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments.- Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks.- Collaborative Group Formation Using Genetic Algorithms.- The CALIMACO Multimodal System: Providing Enhanced Library Services Using Mobile Devices.-Agent Based Modelling to Build Serious Games: The Learn to Lead Game.- An Augmented Reality Application for Learning Anatomy.- Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach.- Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation.- A Self-Organising Multi-Manifold Learning Algorithm.- Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification.- Comparing ELM Against MLP for Electrical Power Prediction in Buildings.-.Fish Monitoring and Sizing Using Computer Vision.- Computer-Aided Development of Thermo-Mechanical Laser Surface Treatments for the Fatigue Life Extension of Bio-Mechanical Components.- From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems.- Neural Recognition of Real and Computer-Designed Architectural Images.

Meta-Heuristics

Автор: Ibrahim H. Osman; James P. Kelly
Название: Meta-Heuristics
ISBN: 1461285879 ISBN-13(EAN): 9781461285878
Издательство: Springer
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Цена: 51570.00 р.
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Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 3540744452 ISBN-13(EAN): 9783540744450
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.

Meta-Heuristics

Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca
Название: Meta-Heuristics
ISBN: 1461376467 ISBN-13(EAN): 9781461376460
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97).


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