TY - GEN
T1 - New challenges for memetic algorithms on continuous multi-objective problems
AU - Lara, Adriana
AU - Coello, Carlos A.Coello
AU - Schuetze, Oliver
PY - 2010
Y1 - 2010
N2 - This work presents the main aspects to tackle when designing memetic algorithms using gradient-based local searchers. We address the main drawbacks and advantages of this coupling, when focusing on the efficiency of the local search stage. We conclude with some guidelines and draw further research paths in these topics.
AB - This work presents the main aspects to tackle when designing memetic algorithms using gradient-based local searchers. We address the main drawbacks and advantages of this coupling, when focusing on the efficiency of the local search stage. We conclude with some guidelines and draw further research paths in these topics.
KW - Memetic algorithms
KW - Multi-objective search directions
UR - http://www.scopus.com/inward/record.url?scp=77955945489&partnerID=8YFLogxK
U2 - 10.1145/1830761.1830836
DO - 10.1145/1830761.1830836
M3 - Contribución a la conferencia
AN - SCOPUS:77955945489
SN - 9781450300735
T3 - Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication
SP - 1967
EP - 1970
BT - Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication
T2 - 12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010
Y2 - 7 July 2010 through 11 July 2010
ER -