Research Article
Influence of the Inherent Safety Principles on Quantitative Risk in Process Industry: Application of Genetic Algorithm Process Optimization (GAPO)
Table 7
Main properties and results of genetic algorithm optimization applied in this study.
| | Properties | Amount |
| | Population size | 10 | | Selection method | Stochastic uniform | | Probability of crossover | 0.8 | | Number of generations | 10 |
| | Input variable | Optimized values | | X1: temperature of stream 22-3 (°C) | −56 | | | X2: molar flow of stream 22-8 (Kgmol/h) | 260000 | | | X3: molar flow of stream 22-15 (Kgmol/h) | 85000 | | | X4: temperature of stream 22–31 (°C) | −15.25 | | | X5: temperature of stream 22–34 (°C) | −48 | | | X6: boil-up ratio | 0.79 | | | X7: outlet pressure of expender | 29.3 | | | X8: pressure of top stage of column | 29.00 | |
| | Objective function | 0.8 | |
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Increase decrease (changing from main amount). |
