Evolutionary exploration of dynamic swarm behaviour

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Evolutionary exploration of dynamic swarm behaviour
Abstract- Dynamic swarm behaviour is difficult to design manually. Multiple, simultaneous interactions among a large number of agents, make the relationship between a parameter change and the corresponding change in global behaviour not obvious. This paper presents breeding experiments of dynamic swarm behaviour patterns using an interactive evolutionary algorithm. Specifically, eight scalar parameters that influence swarm behaviour dynamics in a 3D swarm simulation are interactively evolved to produce agents that collectively fly in line, ring, and figure-eight formations.
Henry Kwong, Christian Jacob
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2003
Where CEC
Authors Henry Kwong, Christian Jacob
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