TY - GEN
T1 - Adaptive evolution
T2 - 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009
AU - Viveros-Jiménez, Francisco
AU - Mezura-Montes, Efrén
AU - Gelbukh, Alexander
PY - 2009
Y1 - 2009
N2 - This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because it uses small populations (less than 10 individuals). The two main mechanisms of AEv are elitism and adaptive behavior. It has an adaptive parameter to adjust the balance between global exploration, local exploitation and elitism. Its two crossover operators allow a newly-generated offspring to be parent of other offspring in the same generation. AEv requires the fine-tuning of two parameters (several state-of-the-art approaches use at least three). AEv is tested on a set of 10 benchmark functions with 30 decision variables and it is compared with respect to some state-of-the-art algorithms to show its competitive performance.
AB - This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because it uses small populations (less than 10 individuals). The two main mechanisms of AEv are elitism and adaptive behavior. It has an adaptive parameter to adjust the balance between global exploration, local exploitation and elitism. Its two crossover operators allow a newly-generated offspring to be parent of other offspring in the same generation. AEv requires the fine-tuning of two parameters (several state-of-the-art approaches use at least three). AEv is tested on a set of 10 benchmark functions with 30 decision variables and it is compared with respect to some state-of-the-art algorithms to show its competitive performance.
KW - Evolutionary algorithms
KW - Meta-heuristics
KW - Numerical optimization
UR - http://www.scopus.com/inward/record.url?scp=72749115483&partnerID=8YFLogxK
U2 - 10.1145/1569901.1570184
DO - 10.1145/1569901.1570184
M3 - Contribución a la conferencia
AN - SCOPUS:72749115483
SN - 9781605583259
T3 - Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009
SP - 1827
EP - 1828
BT - Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009
Y2 - 8 July 2009 through 12 July 2009
ER -