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Offline data‐driven evolutionary optimization based on model selection
Swarm and Evolutionary Computation, 2022Huixiang Zhen, Ling Wang, Wenyin Gong
exaly
1988
This paper is an attempt to get physical modeling and mathematical optimization somewhat closer together, using the concept of enlarged state space. Here, every influence, assumed to be neither’ exactly known nor totaly random, is described by state variables. This leads automatically to markoff processes in that state space.
openaire +1 more source
This paper is an attempt to get physical modeling and mathematical optimization somewhat closer together, using the concept of enlarged state space. Here, every influence, assumed to be neither’ exactly known nor totaly random, is described by state variables. This leads automatically to markoff processes in that state space.
openaire +1 more source
Statistical model calibration and design optimization under aleatory and epistemic uncertainty
Reliability Engineering and System Safety, 2022Ikjin Lee, Yongsu Jung
exaly
Mean-Absolute Deviation Portfolio Optimization Model and Its Applications to Tokyo Stock Market
Management Science, 1991Hiroshi Konno
exaly
Model-based methods for continuous and discrete global optimization
Applied Soft Computing Journal, 2017Thomas Bartz-Beielstein +1 more
exaly
Constrained Assortment Optimization for the Nested Logit Model
Management Science, 2014Huseyin Topaloğlu, Gallego Guillermo
exaly