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Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, Federico Rossi; Fabio Mavelli; Pasquale Stano; Dan


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Автор: Federico Rossi; Fabio Mavelli; Pasquale Stano; Dan
Название:  Advances in Artificial Life, Evolutionary Computation and Systems Chemistry
ISBN: 9783319326948
Издательство: Springer
Классификация:



ISBN-10: 3319326945
Обложка/Формат: Paperback
Страницы: 209
Вес: 0.31 кг.
Дата издания: 03.04.2016
Серия: Communications in Computer and Information Science
Язык: English
Размер: 234 x 156 x 12
Основная тема: Computer Science
Подзаголовок: 10th Italian Workshop, WIVACE 2015, Bari, Italy, September 22-25, 2015, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This bookconstitutes the revised selected papers of the 10th Italian Workshop onAdvances in Artificial Life, Evolutionary Computation and Systems Chemistry,WIVACE 2015, held at Bari, Italy, in September 2015.The 18papers presented have been thoroughly reviewed and selected from 45submissions.


Artificial Life And Evolutionary Computation - Proceedings Of Wivace 2008

Автор: Serra Roberto Et Al
Название: Artificial Life And Evolutionary Computation - Proceedings Of Wivace 2008
ISBN: 981428744X ISBN-13(EAN): 9789814287449
Издательство: World Scientific Publishing
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Цена: 21701.00 р.
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Описание: The Italian community in Artificial Life and Evolutionary computation has grown remarkably over the years. This book presents a collection of its major interests and achievements (including contributions from foreign countries). It provides a broad picture of the Italian activities in this field.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 3319138251 ISBN-13(EAN): 9783319138251
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation

Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 331935681X ISBN-13(EAN): 9783319356815
Издательство: Springer
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Цена: 15672.00 р.
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Описание:

Swarm Intelligence and Evolutionary Computation: Overview and Analysis.- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce.- Hybrid Metaheuristic Algorithms: Past, Present and Future.- Binary Flower Pollination Algorithm and Its Application to Feature Selection.- Bat Algorithm Application for the Single Row Facility Layout Problem.- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem.- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks.- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification.- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm.- Sustainable Building Design: A Review on Recent Metaheuristic Methods.- Firefly Algorithm for Flow Shop Optimization.- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks.- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm.- Analysis of Trusses Using Particle Swarm Optimization.

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642263232 ISBN-13(EAN): 9783642263231
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation

Автор: Keller
Название: Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation
ISBN: 1119214343 ISBN-13(EAN): 9781119214342
Издательство: Wiley
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Цена: 15682.00 р.
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Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.

Applications of Evolutionary Computation

Автор: Cecilia Di Chio; Stefano Cagnoni; Carlos Cotta; Ma
Название: Applications of Evolutionary Computation
ISBN: 3642122388 ISBN-13(EAN): 9783642122385
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Since 1998, EvoApplications - formerly known as EvoWorkshops- has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains.

Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry

Автор: Federico Rossi; Stefano Piotto; Simona Concilio
Название: Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry
ISBN: 3319577107 ISBN-13(EAN): 9783319577104
Издательство: Springer
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Цена: 8384.00 р.
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Описание: They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modelling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

Advances of Evolutionary Computation: Methods and Operators

Автор: Erik Cuevas; Margarita Arimatea D?az Cort?s; Diego
Название: Advances of Evolutionary Computation: Methods and Operators
ISBN: 3319285025 ISBN-13(EAN): 9783319285023
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

Introduction.- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization.- An Algorithm for Global Optimization Inspired by Collective Animal Behavior.- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization.- Optimization Based on the Behavior of Locust Swarms.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Автор: Subhransu Sekhar Dash; K. Vijayakumar; Bijaya Keta
Название: Artificial Intelligence and Evolutionary Computations in Engineering Systems
ISBN: 9811031738 ISBN-13(EAN): 9789811031731
Издательство: Springer
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Цена: 41925.00 р.
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Описание: The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India.

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.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques

Автор: Manuel Barros; Jorge Guilherme; Nuno Horta
Название: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
ISBN: 3642123457 ISBN-13(EAN): 9783642123450
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.


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