TY - GEN
T1 - Micro-differential evolution with local search for high dimensional problems
AU - Olguin-Carbajal, Mauricio
AU - Alba, Enrique
AU - Arellano-Verdejo, Javier
PY - 2013
Y1 - 2013
N2 - Reduced population algorithms have proven to be efficient for solving optimization problems in the past. In this paper, we incorporate a local search procedure into a micro differential evolution algorithm (DE) with the aim of tackling high dimensional problems. Our main purpose is to find out if our proposal is more competitive in these problems than a canonical differential evolution algorithm. In relation to the state of the art techniques, the results our micro-DELS are comparable (or better) with the reference algorithms DECC-G and MLCC. This empirical analysis supports our conjecture that a reduced population DE hybridized with local search (our micro-DELS) is a key combination in dealing with functions having high dimensionality at a low computational cost.
AB - Reduced population algorithms have proven to be efficient for solving optimization problems in the past. In this paper, we incorporate a local search procedure into a micro differential evolution algorithm (DE) with the aim of tackling high dimensional problems. Our main purpose is to find out if our proposal is more competitive in these problems than a canonical differential evolution algorithm. In relation to the state of the art techniques, the results our micro-DELS are comparable (or better) with the reference algorithms DECC-G and MLCC. This empirical analysis supports our conjecture that a reduced population DE hybridized with local search (our micro-DELS) is a key combination in dealing with functions having high dimensionality at a low computational cost.
UR - http://www.scopus.com/inward/record.url?scp=84881565804&partnerID=8YFLogxK
U2 - 10.1109/CEC.2013.6557552
DO - 10.1109/CEC.2013.6557552
M3 - Contribución a la conferencia
AN - SCOPUS:84881565804
SN - 9781479904549
T3 - 2013 IEEE Congress on Evolutionary Computation, CEC 2013
SP - 48
EP - 54
BT - 2013 IEEE Congress on Evolutionary Computation, CEC 2013
T2 - 2013 IEEE Congress on Evolutionary Computation, CEC 2013
Y2 - 20 June 2013 through 23 June 2013
ER -