Multiobjective optimization of an industrial styrene monomer manufacturing process

Optimization of an operating domestic wastewater treatment plant using elitist non-dominated sorting genetic algorithm

“…It is clear that scattered in optimal values of the decision variables compensate for each other, and do not affect the Pareto set much. This is a characteristic of problems associated with several degrees of freedom, and such insensitivity of the Pareto set to scatter in a few decision variables has been encountered earlier in real-life studies (Sareen and Gupta, 1995;Tarafder et al, 2005;Khosla et al, 2007). One way of eliminating the scatter is to express the decision variables as low-order polynomials (Sareen and Gupta, 1995), and obtain optimal values of the decision variables used giving near-optimal solutions that are more useful.…”

Optimal conceptual design of processes with heterogeneous catalytic reactors

“…The equations employed are the Fenske equation to calculate Nmin, the Underwood algorithm to calculate Rmin and the Gilliland correlation in the Eduljee form to calculate the reflux. The condensed fractions in the condenser are assumed to be 100%, 99.5%, 99% and 98% for styrene, ethylbenzene, toluene and benzene respectively [41]. The exit temperature of the cooler prior to the flash unit is set at 333 K at a pressure of 1.9 bar.…”

Why Use Interactive Multi-Objective Optimization in Chemical Process Design?

“…As mentioned, regardless of their simplicity, these methods have serious drawbacks. Recently, EMO methods have become popular in solving chemical engineering problems, but still only two or three objectives have been considered maybe due to the limitations of EMO approaches discussed earlier (Bhaskar et al, 2000;Rajesh et al, 2001;Roosen et al, 2003;Subramani et al, 2003;Tarafder et al, 2005;Zhang et al, 2002).…”