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ing other objectives. To achieve this, a method dedi-
cated to solving multi-objective problems should be
applied in order to produce more useful results in
terms of the objectives that will be considered in fu-
ture work on this production environment. Another
perspective to consider is the improvement of our ap-
proach to be capable to solve scheduling problems
with transportation in a dynamic environment char-
acterized by other dynamic events such as machines
or robot breakdowns.
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A Bi-Level Genetic Algorithm to Solve the Dynamic Flexible Job Shop Scheduling Problem
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