Swarm Intelligence : 9th International Conference, Ants 2014, Brussels, Belgium, September 10-12, 2014. Proceedings / Marco Dorigo ... [and 6 more] (eds.).
Contributor(s): Dorigo, Marco [editor.]Material type: TextSeries: SerienbezeichnungLecture notes in computer science: 8667.; LNCS sublibrary: Publisher: Cham : Springer, 2014Description: 1 online resource (308 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783319099521; 3319099523Other title: ANTS 2014Subject(s): Swarm intelligence -- Congresses | Swarm intelligence | computerwetenschappen | computer sciences | computerwiskunde | computational mathematics | algoritmen | algorithms | computeranalyse | computer analysis | kunstmatige intelligentie | artificial intelligence | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Swarm Intelligence: 9th International Conference. Proceedings, Ants 2014, Brussels, Belgium, September 10-12, 2014. ProceedingsDDC classification: 006.3 LOC classification: Q337.3Online resources: Click here to access online
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International conference proceedings.
Includes author index.
Print version record.
A 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.
This 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.