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Particular Fine-Grained Parallel GA for Simulation Study of Distributed Human-Based GA
著者
  Junya Okano, Kota Hamano, Kei Ohnishi, and Mario Koeppen
 
雑誌名/会議名
  The 2014 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2014), San Diego, CA, USA, October 5-8, 2014. 2014 年 10 月
 
アブストラクト
  The paper proposes and investigates a particular fine-grained parallel genetic algorithm (GA) towards understanding behaviors of a distributed human-based GA similar to the particular fine-grained parallel GA through simulations. The particular fine-grained parallel GA restricts interactions among individuals in terms of not space but time, which can occur in real human interactions. Concretely, it gives each individual its own encounter cycle time with other individuals according to a probability distribution. Simulation results show that the GA performance depends on how to set the encounter timings for the individuals.
 
キーワード
  その他
 
記述言語
  English
 
 

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