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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
Attention for Chapter 23: Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging
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Chapter title
Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging
Chapter number 23
Book title
Swarm Intelligence
Published by
Springer, Cham, September 2014
DOI 10.1007/978-3-319-09952-1_23
Book ISBNs
978-3-31-909951-4, 978-3-31-909952-1
Authors

Jade Abbott, Andries P. Engelbrecht

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Business, Management and Accounting 1 25%