Reducing production
costs is one of the main objectives of process
intensification; in this work, production costs of the distillation
process are reduced by reducing equipment size and utility consumption
from the perspective of process optimization to achieve the purpose
of process intensification. The application of intelligent optimization
algorithms in the optimization process of distillation is vital to
achieving high efficiency and low costs. Combining the harmony search
algorithm with the characteristics of distillation optimization, a
new distillation harmony search algorithm (DHSA) was proposed, which
includes the self-adaptive adjustment of parameters, roulette selection
strategy, and ratio optimization strategy. Benefiting from the DHSA,
the optimal total annual cost and calculation times were remarkably
reduced when compared with reported algorithms in the optimization
of four distillation cases including the two-column model, three-column
model, reactive distillation column model, and dividing-wall extractive
distillation column model. In addition, the highest coefficient of
variation of DHSA in 10 parallel calculations is 1.25%. These results
indicate that DHSA has the advantages of a higher-quality solution,
less computing time, and higher stability, which not only improves
the optimization efficiency and quality but also inspires the optimization
strategies for other algorithms.