Optimisation of Ethylbenzene Conversion and Selectivity of p-diethylbenzene Using Differential Evolution Technique via OLS Modelling

Rahman, Imran; Bokade, Vijay V.; Patnaik, Amarjeet; Das, Anwesh K.

doi:10.1080/00194506.2010.485848

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using a multi-input, multioutput orthogonal leastsquare-based radial basis function model and a classic DE approach with fixed parameters (F = 0.5, Cr = 0.9, and Np = 100), the production process of para-diethylbenzene through disproportionation of ethylbenzene was modeled and optimized (Rahman et al 2010). The selectivity and conversion of para-diethylbenzene were modeled as a function of temperature, liquid hourly space velocity, and pressure.…”

Section: Simple De Versions Used In Process Optimizationmentioning

confidence: 99%

The use of differential evolution algorithm for solving chemical engineering problems

Drăgoi

Curteanu

2016

Reviews in Chemical Engineering

View full text Add to dashboard Cite

AbstractDifferential evolution (DE), belonging to the evolutionary algorithm class, is a simple and powerful optimizer with great potential for solving different types of synthetic and real-life problems. Optimization is an important aspect in the chemical engineering area, especially when striving to obtain the best results with a minimum of consumed resources and a minimum of additional by-products. From the optimization point of view, DE seems to be an attractive approach for many researchers who are trying to improve existing systems or to design new ones. In this context, here, a review of the most important approaches applying different versions of DE (simple, modified, or hybridized) for solving specific chemical engineering problems is realized. Based on the idea that optimization can be performed at different levels, two distinct cases were considered – process and model optimization. In both cases, there are a multitude of problems solved, from different points of view and with various parameters, this large area of successful applications indicating the flexibility and performance of DE.

show abstract

Section: Simple De Versions Used In Process Optimizationmentioning

confidence: 99%