Harmony Search for Parameter Estimation in Vapor- Liquid Equilibrium Modeling
نویسندگان
چکیده
This study introduces the application of Harmony Search (HS) method for solving the parameter estimation problem in vapor-liquid equilibrium data modeling. The performance of this novel stochastic optimization strategy has been tested using several sets of binary vaporliquid equilibrium data with local composition models and the classical approach of least squares. Our results indicate that HS is a promising meta-heuristic for solving global optimization problems in the modeling of phase equilibrium and may offer a better performance than those obtained using current stochastic methods such as the Simulated Annealing or the Particle Swarm Optimization.
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