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Record Nr. |
UNISA996465513403316 |
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Titolo |
Swarm Intelligence [[electronic resource] ] : 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012, Proceedings / / edited by Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groß, Marco Dorigo, Thomas Stützle |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
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ISBN |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (XIV, 356 p. 114 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 7461 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Algorithms |
Computer science |
Application software |
Image processing—Digital techniques |
Computer vision |
Artificial Intelligence |
Theory of Computation |
Computer and Information Systems Applications |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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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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International conference proceedings. |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Nota di contenuto |
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A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality -- ABC-Miner: An Ant-Based Bayesian Classification Algorithm -- Analysing Robot Swarm Decision-Making with Bio-PEPA -- Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack -- Bare Bones Particle Swarms with Jumps -- Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem -- Improving the cAnt-MinerPB Classification Algorithm -- Introducing Novelty Search in Evolutionary Swarm Robotics -- Measuring Diversity in the Cooperative Particle Swarm Optimizer -- Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics -- |
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Scalability Study of Particle Swarm Optimizers in Dynamic Environments -- Self-reconfigurable Modular e-pucks -- Task Partitioning via Ant Colony Optimization for Distributed Assembly -- The Self-adaptive Comprehensive Learning Particle Swarm Optimizer -- Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions -- A Hybrid Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem -- A Self-adaptive Heterogeneous PSO Inspired by Ants -- A“Thermodynamic”Approach to Multi-robot Cooperative Localization with Noisy Sensors -- AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Search -- Analysis of Ant-Based Routing with Wireless Medium Access Control -- Ant-Based Approaches for Solving Autocorrelation Problems -- Collision-Induced “Priority Rule” Governs Efficiency of Pheromone-Communicating Swarm Robots -- Dynamic Load Balancing Inspired by Cemetery Formation in Ant Colonies -- Feasibility of an Ant Colony Optimization Algorithm for Multi-leaf Collimator (MLC) Aperture Definition and Beam Weighting in Volumetric Modulated Arc Therapy (VMAT) Radiotherapy Treatment Planning -- Ant Swarm Foraging from Physical to Virtual and Back Again -- Improving Peer Review with ACORN: ACO Algorithm for Reviewer’s Network -- Learning Finite-State Machines with Ant Colony Optimization -- Mobbing Behavior and Deceit and Its Role in Bio-inspired Autonomous Robotic Agents -- Performance of Bacterial Foraging Optimization in Dynamic Environments -- Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms -- Probabilistic Stochastic Diffusion Search -- Self-organized Clustering of Square Objects by Multiple Robots -- Self-reproduction versus Transition Rules in Ant Colonies for Medical Volume Segmentation -- Swarm Interpolation Using an Approximate Chebyshev Distribution -- Using MOPSO to Solve Multiobjective Bilevel Linear Problems -- Clustering Moodle Data via Ant Colony Optimization -- Continuous Trait-Based Particle Swarm Optimisation (CTB-PSO) -- Exploring Different Functions for Heuristics, Discretization, and Rule Quality Evaluation in Ant-Miner -- Fuzzy-Based Aggregation with a Mobile Robot Swarm -- Maturity of the Particle Swarm as a Metric for Measuring the Particle Swarm Intelligence -- Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments -- Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 8th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2012. This volume contains 15 full papers, 20 short papers, and 7 extended abstracts carefully selected out of 81 submissions. The papers cover various topics of swarm intelligence. |
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