Swarm Intelligence 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings /

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 s...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dorigo, Marco (Επιμελητής έκδοσης), Birattari, Mauro (Επιμελητής έκδοσης), Blum, Christian (Επιμελητής έκδοσης), Christensen, Anders Lyhne (Επιμελητής έκδοσης), Engelbrecht, Andries P. (Επιμελητής έκδοσης), Groß, Roderich (Επιμελητής έκδοσης), Stützle, Thomas (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:Lecture Notes in Computer Science, 7461
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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
  • 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.