id: 06095044
dt: a
an: 06095044
au: Kuyucu, Tüze; Tanev, Ivan; Shimohara, Katsunori
ti: Evolutionary optimization of pheromone-based stigmergic communication.
so: Di Chio, Cecilia (ed.) et al., Applications of evolutionary computation.
    EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT,
    EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain,
    April 11‒13, 2012. Proceedings. Berlin: Springer (ISBN
    978-3-642-29177-7/pbk). Lecture Notes in Computer Science 7248, 63-72
    (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-29178-4_7
ab: Summary: Pheromone-based stigmergic communication is well suited for the
    coordination of swarm of robots in the exploration of unknown areas. We
    introduce a guided probabilistic exploration of an unknown environment
    by combining random movement and stigmergic guidance. Pheromone-based
    stigmergic communication among simple entities features various
    complexities that have significant effects on the overall swarm
    coordination, but are poorly understood. We propose a genetic algorithm
    for the optimization of parameters related to pheromone-based
    stigmergic communication. As a result, we achieve human-competitive
    tuning and obtain a better understanding of these parameters.
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