Full Description
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.
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.
