The application discloses a
civil aviation logistics intelligent loading
system based on adaptive constraint relaxation, which comprises a
data input and preprocessing module, a constraint multi-objective modeling module, a three-
population collaborative evolution optimization module and a scheme output and
application module. The
data input and preprocessing module is used for extracting multi-
source data required by a loading task from an airline operation
database, arranging and converting the data into a
system readable format, loading the data into a
system cache area and completing
data preparation of a model. The constraint multi-objective modeling module is used for constructing a constraint multi-objective optimization model of the
civil aviation logistics intelligent loading based on the data output by the
data input and preprocessing module. The three-
population collaborative evolution optimization module adopts a three-
population collaborative evolution
algorithm ThcAp as a core
solver. The application has more flexible and intelligent constraint
processing, stronger multi-objective optimization capability, higher
algorithm robustness, better scene adaptability, significantly improved loading efficiency and comprehensive benefits.