Evolving Swarming Agents in Real Time

author = "H. {Van Dyke Parunak}",

title = "Evolving Swarming Agents in Real Time",

booktitle = "Genetic Programming Theory and Practice {III}",

year = "2005",

editor = "Tina Yu and Rick L. Riolo and Bill Worzel",

volume = "9",

series = "Genetic Programming",

chapter = "2",

pages = "15--32",

address = "Ann Arbor",

month = "12-14 " # may,

publisher = "Springer",

keywords = "genetic algorithms, genetic programming, evolution strategies, adaptiv, dynamic flies, digital pheromone, pbs, applications, real-time, emergence, agents, population-based search, evolution",

ISBN = "0-387-28110-X",

URL = "

http://www.erim.org/~vparunak/GPTP05.pdf",

DOI = "

doi:10.1007/0-387-28111-8_2",

size = "16 pages",

abstract = "An important application for population search methods (such as particle swarm optimisation and the several varieties of synthetic evolution) is the engineering problem of configuring individual agents to yield useful emergent behaviour. While the biological antecedents of population-based search operate in real time, most engineered versions run off-line. For some applications, it is desirable to evolve agents as they are running in the system that they support. We describe two instances of such systems that we have developed and highlight lessons learnt.",

notes = "part of \cite{yu:2005:GPTP} Published Jan 2006 after the workshop",