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ACM MSWiM 2006 : proceedings of the Ninth ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems : October 2-6, 2006, Torremolinos, Malaga, Spain
| ACM MSWiM 2006 : proceedings of the Ninth ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems : October 2-6, 2006, Torremolinos, Malaga, Spain |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM Press, 2006 |
| Descrizione fisica | 1 online resource (406 p.;) |
| Collana | ACM Conferences |
| Soggetto topico |
Mobile communication systems
Wireless communication systems Electrical & Computer Engineering Engineering & Applied Sciences Electrical Engineering |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | MSWiM '06 |
| Record Nr. | UNINA-9910376503003321 |
| [Place of publication not identified], : ACM Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in artificial intelligence : 15th conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013 Madrid, Spain, September 17-20, 2013, proceedings / / edited by Enrique Alba [and nine others]
| Advances in artificial intelligence : 15th conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013 Madrid, Spain, September 17-20, 2013, proceedings / / edited by Enrique Alba [and nine others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (280 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information storage and retrieval systems
Computer science |
| ISBN | 3-030-85713-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Machine Learning -- Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning -- 1 Introduction -- 2 Dataset -- 3 Training Procedures -- 4 Results and Discussion -- 5 Interpretability Considerations -- 6 Conclusions and Further Work -- References -- LabelDetection: Simplifying the Use and Construction of Deep Detection Models -- 1 Introduction -- 2 Background -- 2.1 Object Detection Libraries -- 2.2 Test-Time Augmentation -- 2.3 Data Distillation -- 3 LabelDetection -- 3.1 LabelDetection for Training Models -- 3.2 LabelDetection for Object Detection -- 4 Case Study -- 5 Conclusions and Further Work -- References -- A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent -- 1 Introduction -- 2 Background -- 3 The Planning and Acting Architecture -- 4 Goal Selection Learning -- 5 Experiments and Analysis of Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- ReLU-Based Activations: Analysis and Experimental Study for Deep Learning -- 1 Introduction -- 2 ReLU-Based Activation Functions -- 2.1 Leaky Rectified Linear Unit -- 2.2 Parametric Rectified Linear Unit -- 2.3 Elastic Rectified Linear Unit -- 2.4 Randomised Leaky Rectified Linear Unit -- 2.5 Sloped Rectified Linear Unit -- 2.6 Paired Rectified Linear Unit -- 2.7 Randomly Translational Rectified Linear Unit -- 3 Design of the Experiments -- 3.1 Datasets -- 3.2 Model and Training Process -- 4 Results and Analysis -- 5 Conclusions -- References -- Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification -- 1 Introduction -- 2 Background -- 2.1 Time Series -- 2.2 Effect of the Lp Norm -- 3 Experimental Results and Discussion -- 3.1 Experimental Settings -- 3.2 Experimental Results -- 4 Conclusions.
References -- STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: STree -- 4 Experimental Evaluation -- 4.1 Benchmark -- 4.2 Algorithms -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Deep Reinforcement and Imitation Learning for Self-driving Tasks -- 1 Introduction -- 2 Background -- 3 Setup -- 3.1 Simulation and Sensors -- 3.2 Computer Vision System -- 3.3 Human Expert Demonstrations -- 3.4 AI Agents -- 4 Experiments -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- Human Activity Recognition with Capsule Networks -- 1 Introduction -- 2 Related Work -- 3 HAR Capsules -- 3.1 Sequence Cutting -- 3.2 Image Embedding -- 3.3 Capsule Network -- 4 Experiments -- 4.1 Data Sets -- 4.2 Results and Discussion -- 5 Conclusions -- References -- Towards Fairness in Classification: Comparison of Methods to Decrease Bias -- 1 Introduction -- 2 Background -- 3 Selected Methods -- 3.1 Decoupled Classifiers -- 3.2 Fairness Constraints -- 3.3 Adversarial Learning -- 4 Fairness Metrics -- 5 Experimental Setup -- 5.1 Databases -- 5.2 Classifier Implementation -- 5.3 Performance Measuring -- 6 Results -- 7 Conclusions -- References -- Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSAC -- 1 Introduction -- 2 Overview of RANSAC and Some Variants -- 3 On Fuzzy Metrics and RANSAC -- 4 FM-Based RANSAC -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Evaluation of the Transformer Architecture for Univariate Time Series Forecasting -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Attention-Based Deep Neural Network -- 3.2 Experimental Study -- 4 Results and Discussion -- 4.1 Forecasting Accuracy -- 4.2 Computation Time -- 5 Conclusions. References -- Optimization and Search -- Automatic Generation of Interrelated Organisms on Virtual Environments -- 1 Introduction -- 2 Related Works -- 3 Automatic Generation of Interrelated Organisms -- 3.1 Overall Description -- 3.2 Representation: Morphology and Parameters -- 3.3 Evolutionary Operators -- 3.4 Fitness Evaluation -- 3.5 Species Exploration -- 3.6 Output -- 4 Experimental Evaluation -- 4.1 Methodology and Experiments -- 4.2 Parameters Setting -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Asynchronous Vector Iteration in Multi-objective Markov Decision Processes -- 1 Introduction -- 2 Antecedents -- 3 Algorithms -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Influence of the Alternative Objective Functions in the Optimization of the Cyclic Cutwidth Minimization Problem -- 1 Introduction -- 2 Alternative Evaluation Functions for the CCMP -- 3 Algorithmic Evaluation Strategy -- 4 Experimental Results -- 5 Conclusions -- References -- A Similarity Measure of Gaussian Process Predictive Distributions -- 1 Introduction -- 2 Gaussian Processes -- 3 The Similarity Measure -- 4 Experiments -- 5 Conclusions -- References -- Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions -- 1 Introduction -- 2 BO Issues for Automatic Optimization -- 3 Heuristic Driven Bayesian Optimization -- 4 Experiments -- 4.1 Benchmark Experiments -- 4.2 Real Experiment -- 5 Conclusions and Further Work -- References -- Solving the Permutation Heijunka Flow Shop Scheduling Problem with Non-unit Demands for Jobs -- 1 Preliminaries -- 2 Heijunka Fm/prmu/Cmax /di -- 3 MS-LS: A metaheuristic for Heijunka Fm/prmu/Cmax /di -- 3.1 Phase 1: Multi-start for the Construction of a Quota Sequence -- 3.2 Phase 2: Improvement of the Quota Sequence Through Local Search. 4 Case Study: Nissan BCN Engine Plant -- 5 Conclusions -- References -- Real-World Applications -- Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experimental Results -- 4.1 Dataset and Experimental Setup -- 4.2 Results -- 5 Conclusions -- References -- Towards Combining Object Detection and Text Classification Models for Form Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 FUNSD Dataset -- 4 Vision Models for Detecting Form Entities -- 5 Text Classification of Form Entities -- 6 Conclusions and Further Work -- References -- A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities -- 1 Introduction -- 2 Related Work -- 2.1 Detection of Non-inclusive Needs in Smart Cities -- 2.2 Analysis of the Information Collected from the Citizen Interaction -- 3 DColbici3: Collaborative Platform for the Identification of Non-inclusive Situations in Smart Cities -- 3.1 Design of Visual Novels as a Collaborative Platform -- 3.2 NLP for Collaborative Information Analysis -- 3.3 Experimental Set-Up -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 4.1 Dataset Description -- 4.2 Experimental Setting -- 4.3 Analysis of Results -- 5 Conclusions -- References -- Recognition of Teaching Activities from University Lecture Transcriptions -- 1 Introduction -- 2 Spoken Academic Lecture -- 3 Data Segmentation and Labeling -- 3.1 Academic Labels -- 4 Text Classification -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Train Route Planning as a Multi-agent Path Finding Problem -- 1 Introduction -- 2 Problem Definition. 3 Graph Representation of the Railway Network -- 4 The trtp as a mapf Problem -- 5 Evaluation -- 6 Conclusions and Future Work -- References -- Citizen Centric Optimal Electric Vehicle Charging Stations Locations in a Full City: Case of Malaga -- 1 Introduction -- 2 Efficient Full City EV Charging Station Locations -- 3 Metaheuristics for Efficient EV-CSL -- 3.1 Algorithms -- 3.2 Implementation Details -- 4 Experimental Settings -- 4.1 Scenarios -- 4.2 Implementation and Hardware Platform -- 4.3 Parameter Settings -- 5 Experimental Analysis -- 5.1 Optimization Results Comparison -- 5.2 Improvement on Travel Distance over the Real Layout of Stations -- 6 Conclusion -- References -- Modeling Administrative Discretion Using Goal-Directed Answer Set Programming -- 1 Introduction -- 2 Goal-Directed Answer Set Programming -- 3 Administrative and Judicial Discretion Reasoner -- 3.1 Patterns to Translate Law into ASP -- 3.2 Description of s(LAW) -- 4 Reasoning and Deduction with Real Use-Cases -- 5 Related Work -- 6 Conclusions -- References -- Author Index. |
| Record Nr. | UNISA-996464395203316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in artificial intelligence : 15th conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013 Madrid, Spain, September 17-20, 2013, proceedings / / edited by Enrique Alba [and nine others]
| Advances in artificial intelligence : 15th conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013 Madrid, Spain, September 17-20, 2013, proceedings / / edited by Enrique Alba [and nine others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (280 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Information storage and retrieval systems
Computer science |
| ISBN | 3-030-85713-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Machine Learning -- Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning -- 1 Introduction -- 2 Dataset -- 3 Training Procedures -- 4 Results and Discussion -- 5 Interpretability Considerations -- 6 Conclusions and Further Work -- References -- LabelDetection: Simplifying the Use and Construction of Deep Detection Models -- 1 Introduction -- 2 Background -- 2.1 Object Detection Libraries -- 2.2 Test-Time Augmentation -- 2.3 Data Distillation -- 3 LabelDetection -- 3.1 LabelDetection for Training Models -- 3.2 LabelDetection for Object Detection -- 4 Case Study -- 5 Conclusions and Further Work -- References -- A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent -- 1 Introduction -- 2 Background -- 3 The Planning and Acting Architecture -- 4 Goal Selection Learning -- 5 Experiments and Analysis of Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- ReLU-Based Activations: Analysis and Experimental Study for Deep Learning -- 1 Introduction -- 2 ReLU-Based Activation Functions -- 2.1 Leaky Rectified Linear Unit -- 2.2 Parametric Rectified Linear Unit -- 2.3 Elastic Rectified Linear Unit -- 2.4 Randomised Leaky Rectified Linear Unit -- 2.5 Sloped Rectified Linear Unit -- 2.6 Paired Rectified Linear Unit -- 2.7 Randomly Translational Rectified Linear Unit -- 3 Design of the Experiments -- 3.1 Datasets -- 3.2 Model and Training Process -- 4 Results and Analysis -- 5 Conclusions -- References -- Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification -- 1 Introduction -- 2 Background -- 2.1 Time Series -- 2.2 Effect of the Lp Norm -- 3 Experimental Results and Discussion -- 3.1 Experimental Settings -- 3.2 Experimental Results -- 4 Conclusions.
References -- STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: STree -- 4 Experimental Evaluation -- 4.1 Benchmark -- 4.2 Algorithms -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Deep Reinforcement and Imitation Learning for Self-driving Tasks -- 1 Introduction -- 2 Background -- 3 Setup -- 3.1 Simulation and Sensors -- 3.2 Computer Vision System -- 3.3 Human Expert Demonstrations -- 3.4 AI Agents -- 4 Experiments -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- Human Activity Recognition with Capsule Networks -- 1 Introduction -- 2 Related Work -- 3 HAR Capsules -- 3.1 Sequence Cutting -- 3.2 Image Embedding -- 3.3 Capsule Network -- 4 Experiments -- 4.1 Data Sets -- 4.2 Results and Discussion -- 5 Conclusions -- References -- Towards Fairness in Classification: Comparison of Methods to Decrease Bias -- 1 Introduction -- 2 Background -- 3 Selected Methods -- 3.1 Decoupled Classifiers -- 3.2 Fairness Constraints -- 3.3 Adversarial Learning -- 4 Fairness Metrics -- 5 Experimental Setup -- 5.1 Databases -- 5.2 Classifier Implementation -- 5.3 Performance Measuring -- 6 Results -- 7 Conclusions -- References -- Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSAC -- 1 Introduction -- 2 Overview of RANSAC and Some Variants -- 3 On Fuzzy Metrics and RANSAC -- 4 FM-Based RANSAC -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Evaluation of the Transformer Architecture for Univariate Time Series Forecasting -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Attention-Based Deep Neural Network -- 3.2 Experimental Study -- 4 Results and Discussion -- 4.1 Forecasting Accuracy -- 4.2 Computation Time -- 5 Conclusions. References -- Optimization and Search -- Automatic Generation of Interrelated Organisms on Virtual Environments -- 1 Introduction -- 2 Related Works -- 3 Automatic Generation of Interrelated Organisms -- 3.1 Overall Description -- 3.2 Representation: Morphology and Parameters -- 3.3 Evolutionary Operators -- 3.4 Fitness Evaluation -- 3.5 Species Exploration -- 3.6 Output -- 4 Experimental Evaluation -- 4.1 Methodology and Experiments -- 4.2 Parameters Setting -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Asynchronous Vector Iteration in Multi-objective Markov Decision Processes -- 1 Introduction -- 2 Antecedents -- 3 Algorithms -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Influence of the Alternative Objective Functions in the Optimization of the Cyclic Cutwidth Minimization Problem -- 1 Introduction -- 2 Alternative Evaluation Functions for the CCMP -- 3 Algorithmic Evaluation Strategy -- 4 Experimental Results -- 5 Conclusions -- References -- A Similarity Measure of Gaussian Process Predictive Distributions -- 1 Introduction -- 2 Gaussian Processes -- 3 The Similarity Measure -- 4 Experiments -- 5 Conclusions -- References -- Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions -- 1 Introduction -- 2 BO Issues for Automatic Optimization -- 3 Heuristic Driven Bayesian Optimization -- 4 Experiments -- 4.1 Benchmark Experiments -- 4.2 Real Experiment -- 5 Conclusions and Further Work -- References -- Solving the Permutation Heijunka Flow Shop Scheduling Problem with Non-unit Demands for Jobs -- 1 Preliminaries -- 2 Heijunka Fm/prmu/Cmax /di -- 3 MS-LS: A metaheuristic for Heijunka Fm/prmu/Cmax /di -- 3.1 Phase 1: Multi-start for the Construction of a Quota Sequence -- 3.2 Phase 2: Improvement of the Quota Sequence Through Local Search. 4 Case Study: Nissan BCN Engine Plant -- 5 Conclusions -- References -- Real-World Applications -- Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experimental Results -- 4.1 Dataset and Experimental Setup -- 4.2 Results -- 5 Conclusions -- References -- Towards Combining Object Detection and Text Classification Models for Form Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 FUNSD Dataset -- 4 Vision Models for Detecting Form Entities -- 5 Text Classification of Form Entities -- 6 Conclusions and Further Work -- References -- A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities -- 1 Introduction -- 2 Related Work -- 2.1 Detection of Non-inclusive Needs in Smart Cities -- 2.2 Analysis of the Information Collected from the Citizen Interaction -- 3 DColbici3: Collaborative Platform for the Identification of Non-inclusive Situations in Smart Cities -- 3.1 Design of Visual Novels as a Collaborative Platform -- 3.2 NLP for Collaborative Information Analysis -- 3.3 Experimental Set-Up -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 4.1 Dataset Description -- 4.2 Experimental Setting -- 4.3 Analysis of Results -- 5 Conclusions -- References -- Recognition of Teaching Activities from University Lecture Transcriptions -- 1 Introduction -- 2 Spoken Academic Lecture -- 3 Data Segmentation and Labeling -- 3.1 Academic Labels -- 4 Text Classification -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Train Route Planning as a Multi-agent Path Finding Problem -- 1 Introduction -- 2 Problem Definition. 3 Graph Representation of the Railway Network -- 4 The trtp as a mapf Problem -- 5 Evaluation -- 6 Conclusions and Future Work -- References -- Citizen Centric Optimal Electric Vehicle Charging Stations Locations in a Full City: Case of Malaga -- 1 Introduction -- 2 Efficient Full City EV Charging Station Locations -- 3 Metaheuristics for Efficient EV-CSL -- 3.1 Algorithms -- 3.2 Implementation Details -- 4 Experimental Settings -- 4.1 Scenarios -- 4.2 Implementation and Hardware Platform -- 4.3 Parameter Settings -- 5 Experimental Analysis -- 5.1 Optimization Results Comparison -- 5.2 Improvement on Travel Distance over the Real Layout of Stations -- 6 Conclusion -- References -- Modeling Administrative Discretion Using Goal-Directed Answer Set Programming -- 1 Introduction -- 2 Goal-Directed Answer Set Programming -- 3 Administrative and Judicial Discretion Reasoner -- 3.1 Patterns to Translate Law into ASP -- 3.2 Description of s(LAW) -- 4 Reasoning and Deduction with Real Use-Cases -- 5 Related Work -- 6 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910502972003321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain
| DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE Computer Society, , 2006 |
| Disciplina | 001.4/34 |
| Collana | ACM Conferences. |
| Soggetto topico |
Computer simulation - Distributed processing
Interactive computer systems Electronic data processing Real-time data processing Engineering & Applied Sciences Computer Science |
| ISBN | 1-5090-9631-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | DS-RT '06 |
| Record Nr. | UNISA-996198858603316 |
| [Place of publication not identified] : , : IEEE Computer Society, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain
| DS-RT 2006 : proceedings : Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications : 2-4 October 2006, Torremolinos (Málaga), Spain |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE Computer Society, , 2006 |
| Disciplina | 001.4/34 |
| Collana | ACM Conferences. |
| Soggetto topico |
Computer simulation - Distributed processing
Interactive computer systems Electronic data processing Real-time data processing Engineering & Applied Sciences Computer Science |
| ISBN | 1-5090-9631-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | DS-RT '06 |
| Record Nr. | UNINA-9910142679403321 |
| [Place of publication not identified] : , : IEEE Computer Society, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
GECCO'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference : July 6-10, 2013, Amsterdam, The Netherlands
| GECCO'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference : July 6-10, 2013, Amsterdam, The Netherlands |
| Autore | Alba Enrique |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2013 |
| Descrizione fisica | 1 online resource (1640 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-4503-1963-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Genetic and Evolutionary Computation Conference Companion'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion : July 6-10, 2013, Amsterdam, The Netherlands
Proceeding of the fifteenth annual Conference on Genetic and Evolutionary Computation Conference GECCO '13 Genetic and Evolutionary Computation Conference, Amsterdam, Netherlands - July 06 - 10, 2013 |
| Record Nr. | UNINA-9910375879503321 |
Alba Enrique
|
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| [Place of publication not identified], : ACM, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
GECCO'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion : July 6-10, 2013, Amsterdam, The Netherlands
| GECCO'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion : July 6-10, 2013, Amsterdam, The Netherlands |
| Autore | Alba Enrique |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2013 |
| Descrizione fisica | 1 online resource (1766 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-4503-1964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Genetic and Evolutionary Computation Conference Companion'13 : proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion : July 6-10, 2013, Amsterdam, The Netherlands
Proceeding of the fifteenth annual Conference Companion on Genetic and Evolutionary Computation Conference Companion GECCO '13 Genetic and Evolutionary Computation Conference, Amsterdam, Netherlands - July 06 - 10, 2013 |
| Record Nr. | UNINA-9910375887803321 |
|
Alba Enrique
|
||
| [Place of publication not identified], : ACM, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metaheuristics for Dynamic Optimization [[electronic resource] /] / edited by Enrique Alba, Amir Nakib, Patrick Siarry
| Metaheuristics for Dynamic Optimization [[electronic resource] /] / edited by Enrique Alba, Amir Nakib, Patrick Siarry |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXXII, 400 p.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-642-30665-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From the Contents: Performance Analysis of Dynamic Optimization Algorithms -- Quantitative Performance Measures for Dynamic Optimization Problems -- Dynamic Function Optimization: The Moving Peaks Benchmark -- SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems -- Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis -- Two Approaches for Single and Multi-Objective Dynamic Optimization -- Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima -- Dynamic multi-objective optimization using PSO. |
| Record Nr. | UNINA-9910437901503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization techniques for solving complex problems / / edited by Enrique Alba ... [et al.]
| Optimization techniques for solving complex problems / / edited by Enrique Alba ... [et al.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , c2009 |
| Descrizione fisica | 1 online resource (502 p.) |
| Disciplina |
004.01/51
511.352 519.6 |
| Altri autori (Persone) | AlbaEnrique |
| Collana | Wiley series on parallel and distributed computing |
| Soggetto topico |
Computer science - Mathematics
Mathematical optimization Problem solving |
| ISBN |
1-282-03076-0
9786612030765 0-470-41135-X 0-470-41134-1 |
| Classificazione | ST 200 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming -- Neural lazy local learning -- Optimization by using genetic algorithms with micropopulations -- Analyzing parallel cellular genetic algorithms -- Evaluating new advanced multiobjective metaheuristics -- Canonical metaheuristics for dynamic optimization problems -- Solving constrained optimization problems with hybrid evolutionary algorithms -- Optimization of time series using parallel, adaptive, and neural techniques -- Using reconfigurable computing to optimization of cryptographic algorithms -- Genetic algorithms, parallelism and reconfigurable hardware -- Divide and conquer: advanced techniques -- Tools for tree searches: branch-and-bound and A* algorithms -- Tools for tree searches: Dynamic programming -- Part II: Applications: Automatic search of behavior strategies in auctions -- Evolving rules for local time series prediction -- Metaheuristics in bioinformatics: DNA sequencing and reconstruction -- Optimal location of antennae in telecommunication networks -- Optimization of image processing algorithms using FPGAs -- Application of cellular automata algorithms to the parallel simulation of laser dynamics -- Dense stereo disparity from an artificial life standpoint -- Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems -- Greedy seeding and problem-specific operators for GAs solution of strip packing problems -- Solving the KCT problem: large scale neighborhood search and solution merging -- Experimental study of GA-based schedulers in dynamic distributed computing environments -- Remote optimization service (ROS) -- Remote services for advanced problem optimization. |
| Record Nr. | UNINA-9910145962803321 |
| Hoboken, New Jersey : , : Wiley, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization techniques for solving complex problems / / edited by Enrique Alba ... [et al.]
| Optimization techniques for solving complex problems / / edited by Enrique Alba ... [et al.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , c2009 |
| Descrizione fisica | 1 online resource (502 p.) |
| Disciplina |
004.01/51
511.352 519.6 |
| Altri autori (Persone) | AlbaEnrique |
| Collana | Wiley series on parallel and distributed computing |
| Soggetto topico |
Computer science - Mathematics
Mathematical optimization Problem solving |
| ISBN |
1-282-03076-0
9786612030765 0-470-41135-X 0-470-41134-1 |
| Classificazione | ST 200 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming -- Neural lazy local learning -- Optimization by using genetic algorithms with micropopulations -- Analyzing parallel cellular genetic algorithms -- Evaluating new advanced multiobjective metaheuristics -- Canonical metaheuristics for dynamic optimization problems -- Solving constrained optimization problems with hybrid evolutionary algorithms -- Optimization of time series using parallel, adaptive, and neural techniques -- Using reconfigurable computing to optimization of cryptographic algorithms -- Genetic algorithms, parallelism and reconfigurable hardware -- Divide and conquer: advanced techniques -- Tools for tree searches: branch-and-bound and A* algorithms -- Tools for tree searches: Dynamic programming -- Part II: Applications: Automatic search of behavior strategies in auctions -- Evolving rules for local time series prediction -- Metaheuristics in bioinformatics: DNA sequencing and reconstruction -- Optimal location of antennae in telecommunication networks -- Optimization of image processing algorithms using FPGAs -- Application of cellular automata algorithms to the parallel simulation of laser dynamics -- Dense stereo disparity from an artificial life standpoint -- Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems -- Greedy seeding and problem-specific operators for GAs solution of strip packing problems -- Solving the KCT problem: large scale neighborhood search and solution merging -- Experimental study of GA-based schedulers in dynamic distributed computing environments -- Remote optimization service (ROS) -- Remote services for advanced problem optimization. |
| Record Nr. | UNINA-9910829992603321 |
| Hoboken, New Jersey : , : Wiley, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
