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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
13 years 12 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
CEC
2009
IEEE
14 years 1 months ago
Constructing test problems for bilevel evolutionary multi-objective optimization
— Many real-world problems demand a feasible solution to satisfy physical equilibrium, stability, or certain properties which require an additional lower level optimization probl...
Kalyanmoy Deb, Ankur Sinha
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
13 years 11 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
CEC
2007
IEEE
14 years 20 days ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
EC
2008
175views ECommerce» more  EC 2008»
13 years 6 months ago
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired oper...
Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo