Genetic algorithm applied to study of the economic viability of alcohol production from Cassava root from 2002 to 2013

Benvenga, Marco Antonio Campos; Librantz, André Felipe Henriques; Santana, José Carlos Curvelo; Tambourgi, Elias Basile

doi:10.1016/j.jclepro.2015.11.051

Cited by 32 publications

(29 citation statements)

References 38 publications

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“…By observing the change generated in choosing the starting point shown in Figure 5, it is proven that the response surface methodology helps a lot in choosing the best starting point for the tabu search algorithm, even when choosing the beginning of the search was not ideal. Thus, it is highly desirable to use a simple method to reduce search time, computer time, processing time and computational costs, as shown by other authors (Benvenga et al, 2016).…”

Section: Procedures To Apply Tabu Searchmentioning

confidence: 99%

“…However, several metaheuristic techniques have been applied in these fields of scientific knowledge. Among the metaheuristics we can mention the traveling salesman, the ant colony, general algebraic modeling system (Gams), the tabu search, the search tree, simulated annealing, genetic algorithm among others (Chaves et al, 2007;Benvenga, Librantz, Santana, & Tambourgi, 2016).…”

Section: Use Of Tabu Search In Process Optimizationmentioning

confidence: 99%

“…As the work presented by Almeida et al (2014) and Santana et al (2018) which used simulated annealing and response surface methodology in standardization and optimization of the a wine production. Benvenga et al (2016) have been combined the response surface methodology with genetic algorithm to study of the economic viability of alcohol production from Cassava root.…”

Section: Use Of Tabu Search In Process Optimizationmentioning

confidence: 99%

“…After the execution of the experiments (in duplicate), the Minimum Square Methodology was applied on experimental data to obtain the model, based in Equation 2. The fitting model was evaluated by variance analysis (ANOVA) (Benvenga et al, 2016;Ferreira, Santana, & Tambourgi, 2011). For both, the Statistica software 6.0 package was used, which was also responsible for generating the response surfaces.…”

Section: Procedures For Response Surface Metodologymentioning

confidence: 99%

“…The experimental design used to obtain the optimal condition for broccoli processing by vacuum cooler is shown in Table 1. All methodology are showed in Benvenga et al (2016) and Ferreira et al (2011).…”

Section: Procedures For Response Surface Metodologymentioning

confidence: 99%

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<b>Combination of optimization techniques to find of processing optimal condition of postharvest broccoli by vacuum cooling process

et al. 2018

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This study aimed to investigate the impact of each factor on the weight loss of postharvest broccoli and treatment efficacy, and also attempted to fix the optimal condition for vacuum cooling treatment on postharvest broccoli by response surface methodology combined with tabu search techniques. Fresh broccoli samples were harvested from a Chinese farm and the green heads of selected samples were cut into smaller ones with approximately 3~4 cmdiameter, and sequentially equilibrated to room temperature. Pressure (200-600 Pa), broccoli weight (200-500 g), water volume (2-6 %, v v-1) and time (20-40 min) were used as factors and weight loss, final temperature and cost as responses. A tabu search algorithm was developed to find the optimum condition for processing broccoli and its initial condition were from response surface methodology. Results demonstrates a good adjust of tabu search algorithm in simulation of the broccoli freezing process. From tabu list the best condition were found as follows: the broccoli weight between 273.5 and 278.0 g with a water volume of 3.0%, processed for 40.0 min and at 200 Pa, where the weight loss was 0.34 ± 0.01%, of end temperature was 2.0 ± 0.0°C and profit percent was 99.66 ± 0.01%.

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Section: Procedures To Apply Tabu Searchmentioning

confidence: 99%

Section: Use Of Tabu Search In Process Optimizationmentioning

confidence: 99%