Description |
1 online resource (308 pages) : illustrations |
Series |
Lecture Notes in Computer Science ; 8667 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 8667.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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Contents |
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 |
Summary |
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 |
Analysis |
computerwetenschappen |
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computer sciences |
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computerwiskunde |
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computational mathematics |
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algoritmen |
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algorithms |
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computeranalyse |
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computer analysis |
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kunstmatige intelligentie |
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artificial intelligence |
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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
Notes |
International conference proceedings |
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Includes author index |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Print version record |
Subject |
Swarm intelligence -- Congresses
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Swarm intelligence
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Dorigo, Marco, editor
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ISBN |
9783319099521 |
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3319099523 |
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