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Economic, environmental and mixed objective functions in non-linear process optimization using simulated annealing and tabu search
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Orientador(es)
Resumo(s)
Screening of topologies developed by hierarchical heuristic procedures can be carried out by comparing
their optimal performance. In this work we will be exploiting mono-objective process optimization using
two algorithms, simulated annealing and tabu search, and four different objective functions: two of the
net present value type, one of them including environmental costs and two of the global potential impact
type. The hydrodealkylation of toluene to produce benzene was used as case study, considering five
topologies with different complexities mainly obtained by including or not liquid recycling and heat
integration.
The performance of the algorithms together with the objective functions was observed, analyzed and
discussed from various perspectives: average deviation of results for each algorithm, capacity for producing
high purity product, screening of topologies, objective functions robustness in screening of topologies,
trade-offs between economic and environmental type objective functions and variability of optimum
solutions.
Descrição
Palavras-chave
Simulated annealing Tabu search Economic objective function Environmental objective function
Contexto Educativo
Citação
Editora
Elsevier