LEADER 05874nam 22007575 450 001 9910483730303321 005 20251226195652.0 010 $a3-319-09952-3 024 7 $a10.1007/978-3-319-09952-1 035 $a(CKB)3710000000228636 035 $a(SSID)ssj0001354314 035 $a(PQKBManifestationID)11893706 035 $a(PQKBTitleCode)TC0001354314 035 $a(PQKBWorkID)11323804 035 $a(PQKB)11531246 035 $a(DE-He213)978-3-319-09952-1 035 $a(MiAaPQ)EBC6283710 035 $a(MiAaPQ)EBC5578392 035 $a(Au-PeEL)EBL5578392 035 $a(OCoLC)890603301 035 $a(PPN)181351560 035 $a(EXLCZ)993710000000228636 100 $a20140903d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSwarm Intelligence $e9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings /$fedited by Marco Dorigo, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Montes de Oca, Christine Solnon, Thomas Stützle 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XIV, 294 p. 85 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8667 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-09951-5 320 $aIncludes bibliographical references and index. 327 $aA Novel Ant Colony Algorithm for Building Neural Network Topologies -- An ACO Algorithm to Solve an Extended Cutting Stock Problem for Scrap Minimization in a Bar Mill -- An Experiment in Automatic Design of Robot Swarms -- Angle Modulated Particle Swarm Variants -- Ant Colony Optimization on a Budget of 1000 -- Application of Supervisory Control Theory to Swarms of e-puck and Kilobot Robots -- Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can! -- Diversity Rate of Change Measurement for Particle Swarm Optimizers -- Evolutionary Swarm Robotics: Genetic Diversity, Task-allocation and Task-switching -- Influencing a Flock via Ad Hoc Teamwork -- MACOC: A Medoid-based ACO Clustering Algorithm -- Particle Swarm Convergence: Standardized Analysis and Topological Influence -- Scheduling a Galvanizing Line by Ant Colony Optimization -- SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments -- Swarm in a Fly Bottle: Feedback-based Analysis of Self-organizing Temporary Lock-ins -- Temporal Task Allocation in Periodic Environments -- Towards a Cognitive Design Pattern for Collective Decision-making -- Short Papers -- A Novel Competitive Quantum-behaviour Evolutionary Multi-swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design -- Cooperative Object Recognition: Behaviours of a Artificially Evolved Swarm -- Emergent Diagnoses from a Collective of Radiologists: Algorithmic versus Social Consensus Strategies -- Foraging Agent Swarm Optimization with Applications in Data Clustering -- GPU Implementation of Food-foraging Problem for Evolutionary Swarm Robotics Systems -- Nature-inspired Swarm Robotics Algorithms for Prioritized Foraging -- Particle Swarm Optimisation with Enhanced Memory Particles -- Sorting in Swarm Robots Using Communication-based Cluster Size Estimation -- Using Fluid Neural Networks to Create Dynamic Neighborhood Topologies in Particle Swarm Optimization -- Extended Abstracts -- A Low-cost Real-time Tracking Infrastructure for Ground-based Robot Swarms -- A New Ant Colony Optimization Algorithm: Three Bound Ant System -- An Adaptive Bumble Bees Mating Optimization Algorithm for the Hierarchical Permutation Flowshop Scheduling Problem -- Gene Expression in DNA Microarrays: A classification problem using Artificial Bee Colony (ABC) algorithm -- Morphology Learning via MDL and Ants -- Parallelizing Solution Construction in ACO for GPUs -- Solving Resource-constraint Project Scheduling Problems based on ACO algorithms. 330 $aThis book constitutes the proceedings of the 9th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2014. This volume contains 17 full papers, 9 short papers, and 7 extended abstracts carefully selected out of 55 submissions. The papers cover empirical and theoretical research in swarm intelligence such as: behavioral models of social insects or other animal societies, ant colony optimization, particle swarm optimization, swarm robotics systems. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8667 606 $aComputer science$xMathematics 606 $aAlgorithms 606 $aArtificial intelligence 606 $aMathematics of Computing 606 $aAlgorithms 606 $aArtificial Intelligence 615 0$aComputer science$xMathematics. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 14$aMathematics of Computing. 615 24$aAlgorithms. 615 24$aArtificial Intelligence. 676 $a004 702 $aDorigo$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBirattari$b Mauro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGarnier$b Simon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHamann$b Heiko$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMontes de Oca$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSolnon$b Christine$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStützle$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483730303321 996 $aSwarm intelligence$91953850 997 $aUNINA