Modeling of liquid–liquid equilibrium of systems relevant for biodiesel production using Backtracking Search Optimization

Merzougui, Abdelkrim; Bonilla-Petriciolet, Adrián; Hasseine, Abdelmalek; Laiadi, Djemoui; Labed, Nadia

doi:10.1016/j.fluid.2014.12.041

Cited by 19 publications

(17 citation statements)

References 32 publications

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“…Overall, the parameter identification involves the determination of model parameters, which should represent satisfactorily certain properties or characteristics of the system under study. The parameter identification problem in phase equilibrium modeling deals with equations that are non-linear-in-theparameters and, consequently, robust optimization techniques have to be applied in its resolution [1,9]. In particular, local composition models are traditionally used as the thermodynamic framework for the prediction and estimation of physicochemical properties of food systems involving liquid phases.…”

Section: Description Of Activity Coefficient Thermodynamic Modelsmentioning

confidence: 99%

“…Therefore, objective functions defined in terms of LLE concentrations (i.e., experimental tie-lines) are more proper for parameter identification in thermodynamic models. Based on these facts, the next objective function has been used for LLE data modeling [9] (11)…”

Section: Optimization Problem For the Parameter Identification In Nrtmentioning

confidence: 99%

“…To address this type of parameter estimation problems, several optimization techniques have been reported in literature [3, 4, 8 -20], which can be used for the processing of phase equilibrium data. However, current optimization methods may show drawbacks and failures in solving parameter estimation problems for multicomponent systems with LLE [9]. For example, Genetic Algorithms and Harmony Search may show drawbacks for finding the optimum parameters of local composition models for LLE modeling of biofuels [9].…”

Section: Introductionmentioning

confidence: 99%

“…However, current optimization methods may show drawbacks and failures in solving parameter estimation problems for multicomponent systems with LLE [9]. For example, Genetic Algorithms and Harmony Search may show drawbacks for finding the optimum parameters of local composition models for LLE modeling of biofuels [9]. Therefore, the search of better methods for performing, robustly and effectively, the parameter identification in LLE modeling is relevant for the process system engineering of the food industry.…”

Section: Introductionmentioning

confidence: 99%

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Parameter Identification in Liquid-Liquid Equilibrium Modeling of Food-Related Thermodynamic Systems Using Flower Pollination Algorithms

Merzougui¹,

Labed²,

Hasseine³

et al. 2016

TOCENGJ

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In this paper, the liquid–liquid equilibrium of twenty two ternary and quaternary systems relevant for food industry was modeled using the NRTL and UNIQUAC equations and the Flower Pollination Algorithm (FPA). FPA is an emerging nature-inspired stochastic global optimization method and it has been used for LLE parameter identification of local composition models in multicomponent mixtures. FPA and its modified version (MFPA) were assessed for solving LLE parameter estimation problems in several systems relevant for food industry. Thenumerical performance of these stochastic methods has been analyzed at different numerical scenarios with and without the application of closure equations. Results showed that MFPA outperformed FPA and other metaheuristics (e.g., Simulated Annealing, Genetic Algorithm and Harmony Search) for LLE parameter identification in local compositions models. MFPA with closure equations is a reliable approach for determining the best interaction parameter of NRTL and UNIQUAC models in the LLE data processing of food-related thermodynamic systems.

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Section: Description Of Activity Coefficient Thermodynamic Modelsmentioning

confidence: 99%

Section: Optimization Problem For the Parameter Identification In Nrtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parameter Identification in Liquid-Liquid Equilibrium Modeling of Food-Related Thermodynamic Systems Using Flower Pollination Algorithms

Merzougui¹,

Labed²,

Hasseine³

et al. 2016

TOCENGJ

Self Cite

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“…BSA was used in [45] and [46] for circular and concentric circular antenna array designs, respectively. BSA was also employed for solving different optimization problems [47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm

Güney

Durmuş

2015

International Journal of Antennas and Propagation

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An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls at interference directions. Pattern nulling is obtained by controlling only the amplitude, position, and phase of the antenna array elements. BSA is an innovative metaheuristic technique based on an iterative process. Various numerical examples of linear array patterns with the prescribed single, multiple, and wide nulls are given to illustrate the performance and flexibility of BSA. The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). The simulation results show that the linear antenna array synthesis using BSA provides low side-lobe levels and deep null levels.

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Extraction of Propionic Acid from Waste Water Using Rosmary

Timedjeghdine

Djellouli

Hasseine

2018

Proceedings of the Third International Symposium on Materials and Sustainable Development

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Modeling of liquid–liquid equilibrium of systems relevant for biodiesel production using Backtracking Search Optimization

Cited by 19 publications

References 32 publications

Parameter Identification in Liquid-Liquid Equilibrium Modeling of Food-Related Thermodynamic Systems Using Flower Pollination Algorithms

Parameter Identification in Liquid-Liquid Equilibrium Modeling of Food-Related Thermodynamic Systems Using Flower Pollination Algorithms

Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm

Extraction of Propionic Acid from Waste Water Using Rosmary

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