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Swarm Intelligence : 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings

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Cover of 'Swarm Intelligence : 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 A Novel Ant Colony Algorithm for Building Neural Network Topologies
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    Chapter 2 An ACO Algorithm to Solve an Extended Cutting Stock Problem for Scrap Minimization in a Bar Mill
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    Chapter 3 An Experiment in Automatic Design of Robot Swarms
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    Chapter 4 Angle Modulated Particle Swarm Variants
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    Chapter 5 Ant Colony Optimization on a Budget of 1000
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    Chapter 6 Application of Supervisory Control Theory to Swarms of e-puck and Kilobot Robots
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    Chapter 7 Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can!
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    Chapter 8 Diversity Rate of Change Measurement for Particle Swarm Optimisers
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    Chapter 9 Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching
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    Chapter 10 Influencing a Flock via Ad Hoc Teamwork
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    Chapter 11 MACOC: A Medoid-Based ACO Clustering Algorithm
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    Chapter 12 Particle Swarm Convergence: Standardized Analysis and Topological Influence
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    Chapter 13 Scheduling a Galvanizing Line by Ant Colony Optimization
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    Chapter 14 SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments
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    Chapter 15 Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins
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    Chapter 16 Temporal Task Allocation in Periodic Environments
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    Chapter 17 Towards a Cognitive Design Pattern for Collective Decision-Making
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    Chapter 18 A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering Design
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    Chapter 19 Cooperative Object Recognition: Behaviours of a Artificially Evolved Swarm
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    Chapter 20 Emergent Diagnoses from a Collective of Radiologists: Algorithmic versus Social Consensus Strategies
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    Chapter 21 Foraging Agent Swarm Optimization with Applications in Data Clustering
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    Chapter 22 GPU Implementation of Food-Foraging Problem for Evolutionary Swarm Robotics Systems
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    Chapter 23 Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging
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    Chapter 24 Particle Swarm Optimisation with Enhanced Memory Particles
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    Chapter 25 Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation
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    Chapter 26 Using Fluid Neural Networks to Create Dynamic Neighborhood Topologies in Particle Swarm Optimization
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Swarm Intelligence : 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-09952-1
978-3-31-909951-4, 978-3-31-909952-1

Marco Dorigo, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Montes de Oca, Christine Solnon, Thomas Stützle

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Master 3 25%
Unspecified 2 17%
Student > Postgraduate 1 8%
Other 1 8%
Readers by discipline Count As %
Engineering 7 58%
Computer Science 4 33%
Unspecified 2 17%