A Novel Human-Computer Collaboration: Combining Novelty Search with Interactive Evolution In: Proceedings of the 16th annual conference on Genetic and evolutionary computation, GECCO ’14, New York, NY. ACM Winner of th

Source URL: eplex.cs.ucf.edu

• Evolutionary computation
• Evolutionary algorithms
• Cybernetics
• Evolution
• Interactive evolutionary computation
• Genetic algorithm
• Neuroevolution of augmenting topologies
• Swarm intelligence
• Neuroevolution

Ant Algorithms for Discrete Optimization Marco Dorigo and Gianni Di Caro IRIDIA, Universit´e Libre de Bruxelles Brussels, Belgium

Source URL: www.strc.ch

• Computational complexity theory
• Ant colony optimization algorithms
• Mathematics
• Ant
• Systems science
• Travelling salesman problem
• Argentine ant
• Stigmergy
• Pheromone
• Dalle Molle Institute for Artificial Intelligence Research
• Artificial ants
• Swarm intelligence

2005 IEEE Swarm Intelligence Symposium, 8-10 June, Pasadena, California, USA A HYBRID PARTICLE SWARM/ANT COLONY ALGORITHM FOR THE CLASSIFICATION OF HIERARCHICAL BIOLOGICAL DATA Nicholas Holden Alex A. Freitas

Source URL: xps-swarm.essex.ac.uk

International Journal of Computer Applications (0975 – 8887) Volume 29– No.2, September 2011 A Novel Method for Segmentation of Remote Sensing Images based on Hybrid GA-PSO Pedram Ghamisi

Source URL: research.ijcaonline.org

• Image segmentation
• Mathematical optimization
• Evolutionary algorithms
• Artificial intelligence
• Applied mathematics
• Cybernetics
• Search algorithms
• Thresholding
• Genetic algorithm
• Numerical analysis
• Particle swarm optimization

p-MEMPSODE: Parallel and Irregular Memetic Global Optimization C. Voglis a,1 , P.E Hadjidoukas b , K.E. Parsopoulos a , D.G. Papageorgiou c , I.E. Lagaris a M.N. Vrahatis d a Department b Chair

Source URL: www.cse-lab.ethz.ch

• Mathematical optimization
• Evolutionary algorithms
• Numerical analysis
• Applied mathematics
• Cybernetics
• Operations research
• Particle swarm optimization
• Global optimization
• Quasi-Newton method
• BroydenFletcherGoldfarbShanno algorithm
• Memetic algorithm
• Swarm intelligence

Peter Bailis Research ExperienceNSF GRFP Application Materials1 http://www.bailis.org/ In my undergraduate career, I have had the opportunity to work on several diverse research

Source URL: www.bailis.org

• Emerging technologies
• Animal migration
• Aquatic ecology
• Fisheries
• Swarm behaviour
• Zoology
• Swarm intelligence
• Technology
• Micro air vehicle
• Unmanned aerial vehicle
• Swarming
• Simulation

ARGoS: A Modular, Multi-Engine Simulator for Heterogeneous Swarm Robotics

Source URL: www.swarmanoid.org

• Humanoid robot
• Physics engine
• Game engine
• Simulation
• ARGOS
• Biology
• Swarm behaviour
• Swarm intelligence
• Autonomous robot
• Video game development
• Webots
• Robot

Individual based modelling of temperature induced aggregation behaviour

Source URL: zool33.uni-graz.at

• Pollinators
• Biology
• Bees
• Apis
• Collective intelligence
• Honey bee
• Swarm behaviour
• Western honey bee
• Worker bee
• Beekeeping
• Pollination
• Plant reproduction

Re-Engineering Evolution: A Study In Self-Organising Synchronisation Vito Trianni and Stefano Nolfi Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy

Source URL: www.swarmanoid.org

• Evolutionary robotics
• Swarm robotics
• Robot
• Ant robotics
• Cog
• Swarm behaviour
• Autonomous robot
• Stefano Nolfi
• Outline of robotics
• Robotics
• Artificial intelligence
• Evolutionary computation

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems September 25-30, 2011. San Francisco, CA, USA Communication assisted navigation in robotic swarms: self-organization and cooperation

Source URL: www.swarmanoid.org

• Autonomous robot
• Biology
• Swarm behaviour
• Swarm intelligence
• Swarm robotics
• Francesco Mondada
• Future of robotics
• Time
• Ethology
• Multi-agent systems
• Robot
• Mobile robot