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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 2 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
ECAL
2001
Springer
13 years 9 months ago
Insect Inspired Visual Control of Translatory Flight
Flying insects use highly efficient visual strategies to control their self-motion in three-dimensional space. We present a biologically inspired, minimalistic model for visual ...
Titus R. Neumann, Heinrich H. Bülthoff
AISADM
2005
Springer
13 years 10 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
ALIFE
2004
13 years 4 months ago
Tracking the Trajectories of Evolution
This paper proposes a method of visualizing and measuring evolution in Artificial Life simulations. The evolving population of agents is treated as a dynamical system. The propose...
Mikhail S. Burtsev
ESAW
2008
Springer
13 years 6 months ago
Engineering Self-modeling Systems: Application to Biology
Complexity of today's systems prevents designers from knowing everything about them and makes engineering them a difficult task for which classical engineering approaches are ...
Carole Bernon, Davy Capera, Jean-Pierre Mano