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Record Nr. |
UNISA996465611803316 |
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Titolo |
Applications of Evolutionary Computing [[electronic resource] ] : 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Anna I. Esparcia-Alcázar |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXVIII, 639 p. 210 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 7835 |
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Disciplina |
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Soggetti |
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Algorithms |
Artificial intelligence |
Pattern recognition systems |
Computer networks |
Computer science |
Application software |
Artificial Intelligence |
Automated Pattern Recognition |
Computer Communication Networks |
Theory of Computation |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks -- Routing Low-Speed Traffic Requests onto High-Speed Lightpaths by Using a Multiobjective Firefly Algorithm -- Pareto-optimal Glowworm Swarms Optimization for Smart Grids Management -- An Overlay Approach for Optimising Small-World Properties in VANETs -- Impact of the Number of Beacons in PSO-Based Auto-localization in UWB Networks -- Load Balancing in Distributed Applications Based on Extremal Optimization -- A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming -- Solving the Location Areas Scheme in Realistic Networks by Using a Multi-objective Algorithm -- The Small-World |
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Phenomenon Applied to a Self-adaptive Resources Selection Model -- Partial Imitation Hinders Emergence of Cooperation in the Iterated Prisoner’s Dilemma with Direct Reciprocity -- A Memetic Approach to Bayesian Network Structure Learning -- Multiobjective Evolutionary Strategy for Finding Neighbourhoods of Pareto-optimal Solutions -- Genetic Programming-Based Model Output Statistics for Short-Range Temperature Prediction -- Evolutionary Multi-Agent System in Hard Benchmark Continuous Optimisation -- Domestic Load Scheduling Using Genetic Algorithms -- Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time -- Using a Genetic Algorithm for the Determination of Power Load Profiles -- Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data -- Evolving Non-Intrusive Load -- On the Utility of Trading Criteria Based Retraining in Forex Markets -- Identifying Market Price Levels Using Differential Evolution -- Evolving Hierarchical Temporal Memory-Based Trading Models -- Robust Estimation of Vector Autoregression (VAR) Models Using Genetic Algorithms -- Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods -- Combining Technical Analysis and Grammatical Evolution in a Trading System -- A Card Game Description Language -- Generating Map Sketches for Strategy Games -- A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars -- Mechanic Miner: Reflection-Driven Game Mechanic Discovery and Level Design -- Generating Artificial Neural Networks for Value Function Approximation in a Domain Requiring a Shifting Strategy -- Comparing Evolutionary Algorithms to Solve the Game of MasterMind -- A Genetic Algorithm for Color Image Segmentation -- Multiobjective Projection Pursuit for Semisupervised Feature Extraction -- Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators -- Adding Chaos to Differential Evolution for Range Image Registration -- Genetic Programming for Automatic Construction of Variant Features in Edge Detection -- Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming -- Implicit Fitness Sharing for Evolutionary Synthesis of License Plate Detectors -- Feedback-Based Image Retrieval Using Probabilistic Hypergraph Ranking Augmented by Ant Colony Algorithm -- An Evolutionary Approach for Automatic Seedpoint Setting in Brain Fiber Tracking -- Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting -- Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming -- Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification -- CodeMonkey; a GUI Driven Platform for Swift Synthesis of Evolutionary Algorithms in Java -- Multi-Objective Optimizations of Structural Parameter Determination for Serpentine Channel Heat Sink -- Towards Non-linear ConstraintEstimation for Expensive Optimization Repair Methods for Box Constraints Revisited -- Scalability of Population-Based Search Heuristics for Many-Objective Optimization -- On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality.-EvoSpace: A Distributed Evolutionary Platform Based on the Tuple Space Model -- Cloud Driven Design of a Distributed Genetic Programming Platform -- Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems -- Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation -- Co-evolutionary Approach to Design of Robotic Gait -- A Comparison between Different Encoding Strategies for Snake-Like Robot Controllers -- Virtual Spatiality in Agent Controllers: Encoding Compartmentalization -- Evolving Counter-Propagation Neuro-controllers for Multi-objective Robot Navigation -- |
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Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming -- Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems -- Finding Robust Solutions to Dynamic Optimization Problems -- An Ant-Based Selection Hyper heuristic for Dynamic Environments. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 65 revised full papers presented were carefully reviewed and selected from 119 submissions. EvoApplications 2013 consisted of the following 12 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments). |
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