TY - GEN
T1 - An asynchronous implementation of the limited memory CMA-ES
T2 - 21st International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent Image Processing, Bio-Inspired Robotics, MENDEL 2015
AU - Arkhipov, Viktor
AU - Buzdalov, Maxim
PY - 2015
Y1 - 2015
N2 - We present our first results on the problem of asynchronous implementation of the LM-CMA-ES algorithm, which is a modern evolution strategy for solving complex large-scale continuous optimization problems. Our implementation converges with the linear speed on the Sphere benchmark problem, and CPU utilization is almost perfect when the computational cost of the fitness function is relatively high.
AB - We present our first results on the problem of asynchronous implementation of the LM-CMA-ES algorithm, which is a modern evolution strategy for solving complex large-scale continuous optimization problems. Our implementation converges with the linear speed on the Sphere benchmark problem, and CPU utilization is almost perfect when the computational cost of the fitness function is relatively high.
KW - Asynchronous algorithms
KW - CMA-ES
UR - http://www.scopus.com/inward/record.url?scp=84938881474&partnerID=8YFLogxK
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:84938881474
VL - 2015-January
T3 - Mendel
SP - 43
EP - 46
BT - 21st International Conference on Soft Computing
Y2 - 23 June 2015 through 25 June 2015
ER -