Authors :
Shi-gang Zhou; Yuan Gao
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3v47x6s
DOI :
https://doi.org/10.5281/zenodo.6879279
Abstract :
With the rapid development of the Internet
and e-commerce industry, the distribution efficiency of
logistics is a key factor affecting the economic efficiency
of e-commerce, while in-warehouse picking, a core step
in logistics, plays an extremely important role. In this
paper, we start from the in-warehouse picking problem
and build the shortest path model based on the immune
algorithm following the application prospect of the
traveling merchant problem to be applicable to many
practical social applications so as to promote the
economic development.
Keywords :
TSP problem; immune algorithm; Manhattan algorithm; queuing theory
With the rapid development of the Internet
and e-commerce industry, the distribution efficiency of
logistics is a key factor affecting the economic efficiency
of e-commerce, while in-warehouse picking, a core step
in logistics, plays an extremely important role. In this
paper, we start from the in-warehouse picking problem
and build the shortest path model based on the immune
algorithm following the application prospect of the
traveling merchant problem to be applicable to many
practical social applications so as to promote the
economic development.
Keywords :
TSP problem; immune algorithm; Manhattan algorithm; queuing theory
