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Using gradient-free local search within MOEAs for the treat..:
, In:
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
,
Uribe, Lourdes
;
Lara, Adriana
;
Deb, Kalyanmoy
. - p. 177-178 , 2020
Link:
https://dl.acm.org/doi/10.1145/3377929.3390028
RT T1
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
: T1
Using gradient-free local search within MOEAs for the treatment of constrained MOPs
UL https://suche.suub.uni-bremen.de/peid=acm-3390028&Exemplar=1&LAN=DE A1 Uribe, Lourdes A1 Lara, Adriana A1 Deb, Kalyanmoy A1 Schütze, Oliver PB ACM YR 2020 K1 constraint handling K1 descent direction K1 evolutionary computation K1 multi-objective optimization K1 Mathematics of computing K1 Mathematical analysis K1 Mathematical optimization K1 Continuous optimization K1 Nonconvex optimization K1 Theory of computation K1 Design and analysis of algorithms K1 Bio-inspired optimization SP 177 OP 178 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377929.3390028 DO https://dl.acm.org/doi/10.1145/3377929.3390028 SF ELIB - SuUB Bremen
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