Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (VI, 209 p. 96 illus., 70 illus. in color)

Edition: 1st ed. 2023

ISBN: 9783031168321

Series Statement: Studies in Computational Intelligence 1069

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16831-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16833-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-16834-5

Language: English

Subjects: Computer Science

DOI: 10.1007/978-3-031-16832-1

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XVI, 304 p)

ISBN: 9783642393044

Series Statement: Studies in Computational Intelligence 505

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-642-39303-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-642-39305-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-642-43596-6

Language: English

DOI: 10.1007/978-3-642-39304-4

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 Online-Ressource (XX, 249 p.) , Ill.

Edition: Online-Ausgabe Springer eBook Collection / Computer Science

ISBN: 9783709117972

Series Statement: Lecture Notes in Social Networks

Additional Edition: Reproduktion von Gündüz-Öğüdücü, Şule Social Networks: Analysis and Case Studies 2014

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-7091-1796-5

Language: English

Subjects: Economics , Sociology

Keywords: Social Media ; Datenerhebung ; Empirische Sozialforschung ; World Wide Web 2.0 ; Soziales Netzwerk

DOI: 10.1007/978-3-7091-1797-2

URL: Volltext

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Format: XVI, 301 Seiten , graph. Darst.

ISBN: 9783642393037

Series Statement: Studies in computational intelligence : SCI 505

Language: English

Keywords: Planungsmodell ; Operations Research ; Automation ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung

UID:

Format: XXXII, 513 p. , online resource.

ISBN: 9783642205200

Series Statement: Lecture Notes in Computer Science, 6625

Content: This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642205194

Language: English

DOI: 10.1007/978-3-642-20520-0

URL: http://dx.doi.org/10.1007/978-3-642-20520-0

UID:

Format: VI, 209 p. 96 illus., 70 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9783031168321

Series Statement: Studies in Computational Intelligence, 1069

Content: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Note: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031168314

Additional Edition: Printed edition: ISBN 9783031168338

Additional Edition: Printed edition: ISBN 9783031168345

Language: English

DOI: 10.1007/978-3-031-16832-1

URL: https://doi.org/10.1007/978-3-031-16832-1

UID:

Format: vi, 209 Seiten : , Illustrationen, Diagramme (überwiegend farbig).

ISBN: 978-3-031-16831-4

Series Statement: Studies in computational intelligence volume 1069

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-031-16832-1

Language: English

Subjects: Computer Science

UID:

Format: XXV, 704 p. , online resource.

ISBN: 9783540787617

Series Statement: Lecture Notes in Computer Science, 4974

Content: Evolutionary computation (EC) techniques are e?cient, nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year.

Note: EvoCOMNET Contributions -- New Research in Nature Inspired Algorithms for Mobility Management in GSM Networks -- Adaptive Local Search for a New Military Frequency Hopping Planning Problem -- SS vs PBIL to Solve a Real-World Frequency Assignment Problem in GSM Networks -- Reconstruction of Networks from Their Betweenness Centrality -- A Self-learning Optimization Technique for Topology Design of Computer Networks -- A Comparative Study of Fuzzy Inference Systems, Neural Networks and Adaptive Neuro Fuzzy Inference Systems for Portscan Detection -- EvoFIN Contributions -- Evolutionary Single-Position Automated Trading -- Genetic Programming in Statistical Arbitrage -- Evolutionary System for Generating Investment Strategies -- Horizontal Generalization Properties of Fuzzy Rule-Based Trading Models -- Particle Swarm Optimization for Tackling Continuous Review Inventory Models -- Option Model Calibration Using a Bacterial Foraging Optimization Algorithm -- A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem -- Quantum-Inspired Evolutionary Algorithms for Financial Data Analysis -- EvoHOT Contributions -- Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures -- Analogue Circuit Control through Gene Expression -- Discovering Several Robot Behaviors through Speciation -- Architecture Performance Prediction Using Evolutionary Artificial Neural Networks -- Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation -- Evolving an Automatic Defect Classification Tool -- Deterministic Test Pattern Generator Design -- An Evolutionary Methodology for Test Generation for Peripheral Cores Via Dynamic FSM Extraction -- Exploiting MOEA to Automatically Geneate Test Programs for Path-Delay Faults in Microprocessors -- EvoIASP Contributions -- Evolutionary Object Detection by Means of Naïve Bayes Models Estimation -- An Evolutionary Framework for Colorimetric Characterization of Scanners -- Artificial Creatures for Object Tracking and Segmentation -- Automatic Recognition of Hand Gestures with Differential Evolution -- Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning -- A GA-Based Feature Selection Algorithm for Remote Sensing Images -- An Evolutionary Approach for Ontology Driven Image Interpretation -- Hybrid Genetic Algorithm Based on Gene Fragment Competition for Polyphonic Music Transcription -- Classification of Seafloor Habitats Using Genetic Programming -- Selecting Local Region Descriptors with a Genetic Algorithm for Real-World Place Recognition -- Object Detection Using Neural Networks and Genetic Programming -- Direct 3D Metric Reconstruction from Multiple Views Using Differential Evolution -- Discrete Tomography Reconstruction through a New Memetic Algorithm -- A Fuzzy Hybrid Method for Image Decomposition Problem -- Triangulation Using Differential Evolution -- Fast Multi-template Matching Using a Particle Swarm Optimization Algorithm for PCB Inspection -- EvoMUSART Contributions -- A Generative Representation for the Evolution of Jazz Solos -- Automatic Invention of Fitness Functions with Application to Scene Generation -- Manipulating Artificial Ecosystems -- Evolved Diffusion Limited Aggregation Compositions -- Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs -- AtomSwarm: A Framework for Swarm Improvisation -- Using DNA to Generate 3D Organic Art Forms -- Towards Music Fitness Evaluation with the Hierarchical SOM -- Evolutionary Pointillist Modules: Evolving Assemblages of 3D Objects -- An Artificial-Chemistry Approach to Generating Polyphonic Musical Phrases -- Implicit Fitness Functions for Evolving a Drawing Robot -- Free Flight in Parameter Space: A Dynamic Mapping Strategy for Expressive Free Impro -- Modelling Video Games’ Landscapes by Means of Genetic Terrain Programming - A New Approach for Improving Users’ Experience -- Virtual Constructive Swarm Compositions and Inspirations -- New-Generation Methods in an Interpolating EC Synthesizer Interface -- Composing Music with Neural Networks and Probabilistic Finite-State Machines -- TransFormer #13: Exploration and Adaptation of Evolution Expressed in a Dynamic Sculpture -- EvoNUM Contributions -- Multiobjective Tuning of Robust PID Controllers Using Evolutionary Algorithms -- Truncation Selection and Gaussian EDA: Bounds for Sustainable Progress in High-Dimensional Spaces -- Scalable Continuous Multiobjective Optimization with a Neural Network–Based Estimation of Distribution Algorithm -- Cumulative Step Length Adaptation for Evolution Strategies Using Negative Recombination Weights -- Computing Surrogate Constraints for Multidimensional Knapsack Problems Using Evolution Strategies -- A Critical Assessment of Some Variants of Particle Swarm Optimization -- An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation -- A Hybrid Particle Swarm Optimization Algorithm for Function Optimization -- EvoSTOC Contributions -- Memory Based on Abstraction for Dynamic Fitness Functions -- A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems -- Compound Particle Swarm Optimization in Dynamic Environments -- An Evolutionary Algorithm for Adaptive Online Services in Dynamic Environment -- EvoTHEORY Contributions -- A Study of Some Implications of the No Free Lunch Theorem -- Negative Slope Coefficient and the Difficulty of Random 3-SAT Instances -- EvoTRANSLOG Contributions -- A Memetic Algorithm for the Team Orienteering Problem -- Decentralized Evolutionary Optimization Approach to the p-Median Problem -- Genetic Computation of Road Network Design and Pricing Stackelberg Games with Multi-class Users -- Constrained Local Search Method for Bus Fleet Scheduling Problem with Multi-depot with Line Change -- Evolutionary System with Precedence Constraints for Ore Harbor Schedule Optimization.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783540787600

Language: English

DOI: 10.1007/978-3-540-78761-7

URL: http://dx.doi.org/10.1007/978-3-540-78761-7

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Format: XII, 336 p. 149 illus. , online resource.

ISBN: 9783642121487

Series Statement: Lecture Notes in Computer Science, 6021

Note: Oral Presentations -- Genetic Programming for Classification with Unbalanced Data -- An Analysis of the Behaviour of Mutation in Grammatical Evolution -- Positional Effect of Crossover and Mutation in Grammatical Evolution -- Sub-tree Swapping Crossover and Arity Histogram Distributions -- Novelty-Based Fitness: An Evaluation under the Santa Fe Trail -- An Analysis of Genotype-Phenotype Maps in Grammatical Evolution -- Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP -- An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problem -- Phenotypic Diversity in Initial Genetic Programming Populations -- A Relaxed Approach to Simplification in Genetic Programming -- Unsupervised Problem Decomposition Using Genetic Programming -- GP-Fileprints: File Types Detection Using Genetic Programming -- A Many Threaded CUDA Interpreter for Genetic Programming -- Controlling Complex Dynamics with Artificial Biochemical Networks -- Geometric Differential Evolution on the Space of Genetic Programs -- Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover -- Evolving Genes to Balance a Pole -- Solution-Locked Averages and Solution-Time Binning in Genetic Programming -- Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testing -- Analytic Solutions to Differential Equations under Graph-Based Genetic Programming -- Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data -- Posters -- Genetic Programming for Auction Based Scheduling -- Bandit-Based Genetic Programming -- Using Imaginary Ensembles to Select GP Classifiers -- Analysis of Building Blocks with Numerical Simplification in Genetic Programming -- Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling -- Ensemble Image Classification Method Based on Genetic Image Network -- Fine-Grained Timing Using Genetic Programming.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642121470

Language: English

DOI: 10.1007/978-3-642-12148-7

URL: http://dx.doi.org/10.1007/978-3-642-12148-7

UID:

Format: XXV, 542 p. 174 illus. , online resource.

ISBN: 9783642291784

Series Statement: Lecture Notes in Computer Science, 7248

Content: This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoApplications 2012 consisted of the following 11 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parrallel and distributed systems), EvoCOMPLEX (algorithms and complex systems), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoHOT (bio-inspired heuristics for design automation), EvoIASP (evolutionary computation in image analysis and signal processing), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defense applications), EvoSTIM (nature-inspired techniques in scheduling, planning, and timetabling), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642291777

Language: English

DOI: 10.1007/978-3-642-29178-4

URL: http://dx.doi.org/10.1007/978-3-642-29178-4