From Figure 3, it can be seen that the PSO algorithm
is close to convergence in 200 iterations, while the
GA algorithm has reached the convergence value of
minimum cost in only almost 120 iterations. The
above data just verifies that the GA algorithm in Fig.
2 is computationally faster than the PSO algorithm.
Since the GA algorithm uses crossover and mutation
operations to generate new individuals, such
operations are able to search the entire solution space
faster, thus speeding up the convergence of the
algorithm. In addition, GA algorithms are able to
process multiple individuals simultaneously in each
generation, and therefore are able to perform parallel
computations faster, which speeds up the algorithm.
In contrast, the PSO algorithm can usually only
handle a single individual and therefore will be
relatively slow in searching the entire solution space.
Therefore, the reason why the GA algorithm is
computationally faster than the PSO algorithm is
mainly due to its parallel computation and faster
search speed.
4 CONCLUSION
With the deepening of globalization, the cold chain
logistics industry in Southeast Asia is also attracting
increasing attention. Cold chain logistics refers to the
logistics method of transporting and storing
commodities under constant temperature conditions,
which is mainly applied to the transportation of
perishable goods such as food, medicine and
cosmetics. In Southeast Asia, the development of cold
chain logistics faces many challenges due to factors
such as hot climate and inconvenient transportation.
Therefore, how to optimize the cold chain logistics
network and evaluate its benefits through big data
analytics has become a pressing issue. The
optimization and benefit assessment of cold chain
logistics network in Southeast Asia based on big data
analysis discussed in this paper is of great
significance. Through big data analysis, the operation
of cold chain logistics network in Southeast Asia can
be better understood and grasped to provide decision
support for enterprises and promote the development
of cold chain logistics industry. Therefore, the
research and application of big data analytics should
be strengthened to continuously improve the
optimization and benefit assessment methods of cold
chain logistics networks, so as to inject new vitality
and momentum into the cold chain logistics industry
in Southeast Asia.
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Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis