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Advances in bio-inspired computing for combinatorial optimization problems / / Camelia-Mihaela Pintea
| Advances in bio-inspired computing for combinatorial optimization problems / / Camelia-Mihaela Pintea |
| Autore | Pintea Camelia-Mihaela |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin ; ; Heidleberg, : Springer-Verlag, 2014 |
| Descrizione fisica | 1 online resource (x, 188 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Collana | Intelligent systems reference library |
| Soggetto topico |
Biologically-inspired computing
Combinatorial optimization |
| ISBN | 3-642-40179-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Biological Computing and Optimization -- Part II Ant Algorithms -- Part III Bio-inspired Multi-Agent Systems -- Part IV Applications with Bio-inspired Algorithms -- Part V Conclusions and Remarks. |
| Record Nr. | UNINA-9910299735003321 |
Pintea Camelia-Mihaela
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| Berlin ; ; Heidleberg, : Springer-Verlag, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in natural computation : second international conference, ICNC 2006, Xi'an, China, September 24-28, 2006 : proceedings. Part II / / Licheng Jiao ... [et al.] (eds.)
| Advances in natural computation : second international conference, ICNC 2006, Xi'an, China, September 24-28, 2006 : proceedings. Part II / / Licheng Jiao ... [et al.] (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2006 |
| Descrizione fisica | 1 online resource (XLII, 998 p.) |
| Disciplina | 006.32 |
| Altri autori (Persone) | JiaoLi-cheng |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Natural computation
Neural networks (Computer science) Computational intelligence Biologically-inspired computing Evolutionary computation Genetic programming (Computer science) |
| ISBN | 3-540-45909-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Other Topics in Natural Computation -- Natural Computation Techniques Applications -- Hardware -- Cross-Disciplinary Topics. |
| Altri titoli varianti | ICNC 2006 |
| Record Nr. | UNINA-9910483340703321 |
| Berlin, : Springer, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in natural computation : second international conference, ICNC 2006, Xi'an, China, September 24-28, 2006 : proceedings, part I / / Licheng Jiao ... [et al.] (eds.)
| Advances in natural computation : second international conference, ICNC 2006, Xi'an, China, September 24-28, 2006 : proceedings, part I / / Licheng Jiao ... [et al.] (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (XLI, 992 p.) |
| Disciplina | 006.32 |
| Altri autori (Persone) | JiaoLi-cheng |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Natural computation
Neural networks (Computer science) Computational intelligence Biologically-inspired computing Evolutionary computation Genetic programming (Computer science) |
| ISBN | 3-540-45902-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | v. 1. Artificial neural networks. Neural network applications. Evolutionary computation : theory and algorithms -- v. 2. Other topics in natural computation. Natural computation techniques, applications. Hardware. Cross-disciplinary topics. |
| Altri titoli varianti | ICNC 2006 |
| Record Nr. | UNINA-9910483804603321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part III / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
| Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part III / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XVII, 575 p. 213 illus.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
DiamantarasKonstantinos I
DuchW <1954-> (Wodzisaw) IliadisLazaros S |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Neural networks (Computer science)
Biologically-inspired computing |
| ISBN |
1-280-38910-9
9786613567024 3-642-15825-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification – Pattern Recognition -- Deep Bottleneck Classifiers in Supervised Dimension Reduction -- Local Modeling Classifier for Microarray Gene-Expression Data -- Learning of Lateral Connections for Representational Invariant Recognition -- Computational Properties of Probabilistic Neural Networks -- Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix -- A Learned Saliency Predictor for Dynamic Natural Scenes -- Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge -- A Bilinear Model for Consistent Topographic Representations -- Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors -- Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition -- Visual Shape Recognition Neural Network Using BESOM Model -- Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem -- The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition -- The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet -- Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier -- Classification Based on Multiple-Resolution Data View -- Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks -- Analyzing Classification Methods in Multi-label Tasks -- Learning Bimanual Coordination Patterns for Rhythmic Movements -- Classification of Voice Aging Using Parameters Extracted from the Glottal Signal -- Learning Algorithms and Systems -- TopoART: A Topology Learning Hierarchical ART Network -- Policy Gradients for Cryptanalysis -- Linear Projection Method Based on Information Theoretic Learning -- Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas -- An Efficient Collaborative Recommender System Based on k-Separability -- Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines -- Multitask Semi–supervised Learning with Constraints and Constraint Exceptions -- Tumble Tree – Reducing Complexity of the Growing Cells Approach -- Sentence Extraction by Graph Neural Networks -- Autonomous Generation of Internal Representations for Associative Learning -- Improving Accuracy of LVQ Algorithm by Instance Weighting -- Multifactor Expectation Maximization for Factor Graphs -- Weighted Learning Vector Quantization to Cost-Sensitive Learning -- Solution Space of Perceptron -- Natural Language Processing Neural Network for Recall and Inference -- Nominally Conditioned Linear Regression -- A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process -- Learning Invariant Visual Shape Representations from Physics -- Algorithms Creating Algorithms -- Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap -- Learning with Convex Constraints -- Theoretical Analysis of Cross-Validation(CV)-EM Algorithm -- Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm -- Dynamic Shape Learning and Forgetting -- On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin -- Model of the Hippocampal Learning of Spatio-temporal Sequences -- Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control -- Computational Intelligence -- Some Comparisons of Model Complexity in Linear and Neural-Network Approximation -- A Funny Proverb Generation System Based on Sukashi -- Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth -- A Graph Based Framework for Clustering and Characterization of SOM -- Clustering Using Elements of Information Theory -- A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction -- Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions -- Neural Networks Training for Weapon Selection in First-Person Shooter Games -- Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data -- Large Scale Problem Solving with Neural Networks: The Netflix Prize Case -- A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering -- A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network -- IEM3 Workshop -- Data Mining Methods for Quality Assurance in an Environmental Monitoring Network -- Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece -- Investigating Pollen Data with the Aid of Fuzzy Methods -- A New Neural Model for Traffic Simulation -- System Architecture for a Smart University Building -- Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants -- A Feature Selection Method for Air Quality Forecasting -- CVA Workshop -- How Do Attention, Intention, and Consciousness Interact? -- Consciousness versus Attention -- On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions -- No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance -- Modelling Neurotic Psychopathology: Memory, Attention and Symbolization -- SOINN Workshop -- How to Use the SOINN Software: User’s Guide (Version 1.0) -- Unguided Robot Navigation Using Continuous Action Space -- Self-Organizing Incremental Neural Network and Its Application -- Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network -- Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots -- Incremental Learning Using Self-Organizing Neural Grove -- Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes. |
| Altri titoli varianti | ICANN 2010 |
| Record Nr. | UNINA-9910483672603321 |
| Berlin, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part I / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
| Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part I / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XXXI, 587 p. 227 illus.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
DiamantarasKonstantinos I
DuchW <1954-> (Wodzisaw) IliadisLazaros S |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Neural networks (Computer science)
Biologically-inspired computing |
| ISBN |
1-280-38908-7
9786613567000 3-642-15819-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ANN Applications -- Bayesian ANN -- Bio Inspired – Spiking ANN -- Biomedical ANN -- Computational Neuroscience -- Feature Selection/Parameter Identification and Dimensionality Reduction -- Filtering -- Genetic – Evolutionary Algorithms -- Image – Video and Audio Processing. |
| Altri titoli varianti | ICANN 2010 |
| Record Nr. | UNINA-9910483076303321 |
| Berlin, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired and nanoscale integrated computing [[electronic resource] /] / edited by Mary Mehrnoosh Eshaghian-Wilner
| Bio-inspired and nanoscale integrated computing [[electronic resource] /] / edited by Mary Mehrnoosh Eshaghian-Wilner |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley, c2009 |
| Descrizione fisica | 1 online resource (573 p.) |
| Disciplina | 004.1 |
| Altri autori (Persone) | Eshaghian-WilnerMary Mehrnoosh |
| Collana | Nature-inspired and nanoscale integrated computing |
| Soggetto topico |
Molecular computers
Biologically-inspired computing Nanotechnology Nanomedicine |
| ISBN |
1-282-30657-X
9786612306570 0-470-42998-4 0-470-42997-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BIO-INSPIRED AND NANOSCALE INTEGRATED COMPUTING; CONTENTS; Foreword; Preface; Contributors; 1 AN INTRODUCTION TO NANOCOMPUTING; 2 NANOSCALE DEVICES: APPLICATIONS AND MODELING; 3 QUANTUM COMPUTING; 4 COMPUTING WITH QUANTUM-DOT CELLULAR AUTOMATA; 5 DIELECTROPHORETIC ARCHITECTURES; 6 MULTILEVEL AND THREE-DIMENSIONAL NANOMAGNETIC RECORDING; 7 SPIN-WAVE ARCHITECTURES; 8 PARALLEL COMPUTING WITH SPIN WAVES; 9 NANOSCALE STANDARD DIGITAL MODULES; 10 FAULT- AND DEFECT-TOLERANT ARCHITECTURES FOR NANOCOMPUTING; 11 MOLECULAR COMPUTING: INTEGRATION OF MOLECULES FOR NANOCOMPUTING
12 SELF-ASSEMBLY OF SUPRAMOLECULAR NANOSTRUCTURES: ORDERED ARRAYS OF METAL IONS AND CARBON NANOTUBES13 DNA NANOTECHNOLOGY AND ITS BIOLOGICAL APPLICATIONS; 14 DNA SEQUENCE MATCHING AT NANOSCALE LEVEL; 15 COMPUTATIONAL TASKS IN MEDICAL NANOROBOTICS; 16 HETEROGENEOUS NANOSTRUCTURES FOR BIOMEDICAL DIAGNOSTICS; 17 BIOMIMETIC CORTICAL NANOCIRCUITS; 18 BIOMEDICAL AND BIOMEDICINE APPLICATIONS OF CNTs; 19 NANOSCALE IMAGE PROCESSING; 20 CONCLUDING REMARKS AT THE BEGINNING OF A NEW COMPUTING ERA; Index |
| Record Nr. | UNINA-9910139879203321 |
| Hoboken, N.J., : John Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired and nanoscale integrated computing / / edited by Mary Mehrnoosh Eshaghian-Wilner
| Bio-inspired and nanoscale integrated computing / / edited by Mary Mehrnoosh Eshaghian-Wilner |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley, c2009 |
| Descrizione fisica | 1 online resource (573 p.) |
| Disciplina | 004.1 |
| Altri autori (Persone) | Eshaghian-WilnerMary Mehrnoosh |
| Collana | Nature-inspired and nanoscale integrated computing |
| Soggetto topico |
Molecular computers
Biologically-inspired computing Nanotechnology Nanomedicine |
| ISBN |
1-282-30657-X
9786612306570 0-470-42998-4 0-470-42997-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BIO-INSPIRED AND NANOSCALE INTEGRATED COMPUTING; CONTENTS; Foreword; Preface; Contributors; 1 AN INTRODUCTION TO NANOCOMPUTING; 2 NANOSCALE DEVICES: APPLICATIONS AND MODELING; 3 QUANTUM COMPUTING; 4 COMPUTING WITH QUANTUM-DOT CELLULAR AUTOMATA; 5 DIELECTROPHORETIC ARCHITECTURES; 6 MULTILEVEL AND THREE-DIMENSIONAL NANOMAGNETIC RECORDING; 7 SPIN-WAVE ARCHITECTURES; 8 PARALLEL COMPUTING WITH SPIN WAVES; 9 NANOSCALE STANDARD DIGITAL MODULES; 10 FAULT- AND DEFECT-TOLERANT ARCHITECTURES FOR NANOCOMPUTING; 11 MOLECULAR COMPUTING: INTEGRATION OF MOLECULES FOR NANOCOMPUTING
12 SELF-ASSEMBLY OF SUPRAMOLECULAR NANOSTRUCTURES: ORDERED ARRAYS OF METAL IONS AND CARBON NANOTUBES13 DNA NANOTECHNOLOGY AND ITS BIOLOGICAL APPLICATIONS; 14 DNA SEQUENCE MATCHING AT NANOSCALE LEVEL; 15 COMPUTATIONAL TASKS IN MEDICAL NANOROBOTICS; 16 HETEROGENEOUS NANOSTRUCTURES FOR BIOMEDICAL DIAGNOSTICS; 17 BIOMIMETIC CORTICAL NANOCIRCUITS; 18 BIOMEDICAL AND BIOMEDICINE APPLICATIONS OF CNTs; 19 NANOSCALE IMAGE PROCESSING; 20 CONCLUDING REMARKS AT THE BEGINNING OF A NEW COMPUTING ERA; Index |
| Record Nr. | UNINA-9910818501503321 |
| Hoboken, N.J., : John Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired artificial intelligence [[electronic resource] ] : theories, methods, and technologies / / Dario Floreano, Claudio Mattiussi
| Bio-inspired artificial intelligence [[electronic resource] ] : theories, methods, and technologies / / Dario Floreano, Claudio Mattiussi |
| Autore | Floreano Dario |
| Pubbl/distr/stampa | Cambridge, MA, : MIT Press, c2008 |
| Descrizione fisica | 1 online resource (674 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | MattiussiClaudio |
| Collana | Intelligent robotics and autonomous agents |
| Soggetto topico |
Artificial intelligence - Data processing
Biologically-inspired computing Self-organizing systems Autonomous robots |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-262-27285-7
1-4356-7719-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910453748703321 |
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Floreano Dario
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| Cambridge, MA, : MIT Press, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired computation in telecommunications / / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting
| Bio-inspired computation in telecommunications / / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (349 p.) |
| Disciplina | 621.382 |
| Soggetto topico |
Telecommunication
Biologically-inspired computing |
| ISBN |
0-12-801743-0
0-12-801538-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Bio-Inspired Computation in Telecommunications; Copyright ; Contents ; Preface ; List of Contributors ; Chapter 1: Bio-Inspired Computation and Optimization: An Overview; 1.1. Introduction; 1.2. Telecommunications and optimization; 1.3. Key challenges in optimization; 1.3.1. Infinite Monkey Theorem and Heuristicity; 1.3.2. Efficiency of an Algorithm; 1.3.3. How to Choose Algorithms; 1.3.4. Time Constraints; 1.4. Bio-inspired optimization algorithms; 1.4.1. SI-Based Algorithms; 1.4.1.1. Ant and bee algorithms; 1.4.1.2. Bat algorithm; 1.4.1.3. Particle swarm optimization
1.4.1.4. Firefly algorithm1.4.1.5. Cuckoo search; 1.4.2. Non-SI-Based Algorithms; 1.4.2.1. Simulated annealing; 1.4.2.2. Genetic algorithms; 1.4.2.3. Differential evolution; 1.4.2.4. Harmony search; 1.4.3. Other Algorithms; 1.5. Artificial neural networks; 1.5.1. Basic Idea; 1.5.2. Neural Networks; 1.5.3. Back Propagation Algorithm; 1.6. Support vector machine; 1.6.1. Linear SVM; 1.6.2. Kernel Tricks and Nonlinear SVM; 1.7. Conclusions; References; Chapter 2: Bio-Inspired Approaches in Telecommunications; 2.1. Introduction; 2.2. Design problems in telecommunications; 2.3. Green communications 2.3.1. Energy Consumption in Wireless Communications2.3.2. Metrics for Energy Efficiency; 2.3.3. Radio Resource Management; 2.3.4. Strategic Network Deployment; 2.4. Orthogonal frequency division multiplexing; 2.4.1. OFDM Systems; 2.4.2. Three-Step Procedure for Timing and Frequency Synchronization; 2.5. OFDMA model considering energy efficiency and quality-of-service; 2.5.1. Mathematical Formulation; 2.5.2. Results; 2.6. Conclusions; References; Chapter 3: Firefly Algorithm in Telecommunications; 3.1. Introduction; 3.2. Firefly algorithm; 3.2.1. Algorithm Complexity 3.2.2. Variants of Firefly Algorithm3.3. Traffic Characterization; 3.3.1. Network Management Based on Flow Analysis and Traffic Characterization; 3.3.2. Firefly Harmonic Clustering Algorithm; 3.3.3. Results; 3.4. Applications in wireless cooperative networks; 3.4.1. Related Work; 3.4.2. System Model and Problem Statement; 3.4.2.1. Energy and spectral efficiencies; 3.4.2.2. Problem statement; 3.4.3. Dinkelbach Method; 3.4.4. Firefly Algorithm; 3.4.5. Simulations and Numerical Results; 3.5. Concluding remarks; 3.5.1. FA in Traffic Characterization; 3.5.2. FA in Cooperative Networks; References Chapter 4: A Survey of Intrusion Detection Systems Using Evolutionary Computation4.1. Introduction; 4.2. Intrusion detection systems; 4.2.1. IDS Components; 4.2.2. Research Areas and Challenges in Intrusion Detection; 4.3. The method: evolutionary computation; 4.4. Evolutionary computation applications on intrusion detection; 4.4.1. Foundations; 4.4.2. Data Collection; 4.4.3. Detection Techniques and Response; 4.4.3.1. Intrusion detection on conventional networks; 4.4.3.2. Intrusion detection on wireless and resource-constrained networks; 4.4.4. IDS Architecture; 4.4.5. IDS Security 4.4.6. Testing and Evaluation |
| Record Nr. | UNINA-9910787437203321 |
| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired computation in telecommunications / / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting
| Bio-inspired computation in telecommunications / / edited by Xin-She Yang, Su Fong Chien, Tiew On Ting |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (349 p.) |
| Disciplina | 621.382 |
| Soggetto topico |
Telecommunication
Biologically-inspired computing |
| ISBN |
0-12-801743-0
0-12-801538-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Bio-Inspired Computation in Telecommunications; Copyright ; Contents ; Preface ; List of Contributors ; Chapter 1: Bio-Inspired Computation and Optimization: An Overview; 1.1. Introduction; 1.2. Telecommunications and optimization; 1.3. Key challenges in optimization; 1.3.1. Infinite Monkey Theorem and Heuristicity; 1.3.2. Efficiency of an Algorithm; 1.3.3. How to Choose Algorithms; 1.3.4. Time Constraints; 1.4. Bio-inspired optimization algorithms; 1.4.1. SI-Based Algorithms; 1.4.1.1. Ant and bee algorithms; 1.4.1.2. Bat algorithm; 1.4.1.3. Particle swarm optimization
1.4.1.4. Firefly algorithm1.4.1.5. Cuckoo search; 1.4.2. Non-SI-Based Algorithms; 1.4.2.1. Simulated annealing; 1.4.2.2. Genetic algorithms; 1.4.2.3. Differential evolution; 1.4.2.4. Harmony search; 1.4.3. Other Algorithms; 1.5. Artificial neural networks; 1.5.1. Basic Idea; 1.5.2. Neural Networks; 1.5.3. Back Propagation Algorithm; 1.6. Support vector machine; 1.6.1. Linear SVM; 1.6.2. Kernel Tricks and Nonlinear SVM; 1.7. Conclusions; References; Chapter 2: Bio-Inspired Approaches in Telecommunications; 2.1. Introduction; 2.2. Design problems in telecommunications; 2.3. Green communications 2.3.1. Energy Consumption in Wireless Communications2.3.2. Metrics for Energy Efficiency; 2.3.3. Radio Resource Management; 2.3.4. Strategic Network Deployment; 2.4. Orthogonal frequency division multiplexing; 2.4.1. OFDM Systems; 2.4.2. Three-Step Procedure for Timing and Frequency Synchronization; 2.5. OFDMA model considering energy efficiency and quality-of-service; 2.5.1. Mathematical Formulation; 2.5.2. Results; 2.6. Conclusions; References; Chapter 3: Firefly Algorithm in Telecommunications; 3.1. Introduction; 3.2. Firefly algorithm; 3.2.1. Algorithm Complexity 3.2.2. Variants of Firefly Algorithm3.3. Traffic Characterization; 3.3.1. Network Management Based on Flow Analysis and Traffic Characterization; 3.3.2. Firefly Harmonic Clustering Algorithm; 3.3.3. Results; 3.4. Applications in wireless cooperative networks; 3.4.1. Related Work; 3.4.2. System Model and Problem Statement; 3.4.2.1. Energy and spectral efficiencies; 3.4.2.2. Problem statement; 3.4.3. Dinkelbach Method; 3.4.4. Firefly Algorithm; 3.4.5. Simulations and Numerical Results; 3.5. Concluding remarks; 3.5.1. FA in Traffic Characterization; 3.5.2. FA in Cooperative Networks; References Chapter 4: A Survey of Intrusion Detection Systems Using Evolutionary Computation4.1. Introduction; 4.2. Intrusion detection systems; 4.2.1. IDS Components; 4.2.2. Research Areas and Challenges in Intrusion Detection; 4.3. The method: evolutionary computation; 4.4. Evolutionary computation applications on intrusion detection; 4.4.1. Foundations; 4.4.2. Data Collection; 4.4.3. Detection Techniques and Response; 4.4.3.1. Intrusion detection on conventional networks; 4.4.3.2. Intrusion detection on wireless and resource-constrained networks; 4.4.4. IDS Architecture; 4.4.5. IDS Security 4.4.6. Testing and Evaluation |
| Record Nr. | UNINA-9910819902003321 |
| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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