TY - GEN
T1 - An asynchronous parallel genetic algorithm for the maximum likelihood phylogenetic tree search
AU - Tsuji, Miwako
AU - Sato, Mitsuhisa
AU - Tanabe, Akifumi S.
AU - Inagaki, Yuji
AU - Hashimoto, Tetsuo
PY - 2012
Y1 - 2012
N2 - A phylogenetic tree represents the evolutionary relationships among biological species. Although parallel computation is essential for the phylogenetic tree searches, it is not easy to maintain the diversity of population in a parallel genetic algorithm. In this paper, we design a new asynchronous parallel genetic algorithm for tree optimization which maintain the diversity of population without any communication or synchronization.
AB - A phylogenetic tree represents the evolutionary relationships among biological species. Although parallel computation is essential for the phylogenetic tree searches, it is not easy to maintain the diversity of population in a parallel genetic algorithm. In this paper, we design a new asynchronous parallel genetic algorithm for tree optimization which maintain the diversity of population without any communication or synchronization.
KW - A phylogenetic tree
KW - asynchronous
KW - parallel genetic algorithm
UR - http://www.scopus.com/inward/record.url?scp=84866843522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866843522&partnerID=8YFLogxK
U2 - 10.1109/CEC.2012.6256560
DO - 10.1109/CEC.2012.6256560
M3 - Conference contribution
AN - SCOPUS:84866843522
SN - 9781467315098
T3 - 2012 IEEE Congress on Evolutionary Computation, CEC 2012
BT - 2012 IEEE Congress on Evolutionary Computation, CEC 2012
T2 - 2012 IEEE Congress on Evolutionary Computation, CEC 2012
Y2 - 10 June 2012 through 15 June 2012
ER -