TY - GEN
T1 - (μ,λ) Evolutionary and particle swarm hybrid algorithm over cloud computing, with an application to dinosaur gait optimization
AU - Matsumura, Yoshiyuki
AU - Sugiyama, Kiyotaka
AU - Yasuda, Toshiyuki
AU - Ohkura, Kazuhiro
PY - 2013
Y1 - 2013
N2 - A hybrid evolutionary algorithm based on (μ,λ) evolutionary algorithms and particle swarm optimization is proposed for numerical optimization problems. In order to evaluate the performance of the hybrid, a computer experiment was conducted on a dinosaur's gait generation problem. Experimental results show that hybrid optimization finds maximum fitness and is faster at the beginning of the search.
AB - A hybrid evolutionary algorithm based on (μ,λ) evolutionary algorithms and particle swarm optimization is proposed for numerical optimization problems. In order to evaluate the performance of the hybrid, a computer experiment was conducted on a dinosaur's gait generation problem. Experimental results show that hybrid optimization finds maximum fitness and is faster at the beginning of the search.
UR - http://www.scopus.com/inward/record.url?scp=84902492381&partnerID=8YFLogxK
M3 - 会議への寄与
AN - SCOPUS:84902492381
SN - 9781479926268
T3 - 2013 IEEE/SICE International Symposium on System Integration, SII 2013
SP - 802
EP - 807
BT - 2013 IEEE/SICE International Symposium on System Integration, SII 2013
PB - IEEE Computer Society
T2 - 2013 6th IEEE/SICE International Symposium on System Integration, SII 2013
Y2 - 15 December 2013 through 17 December 2013
ER -