2011
DOI: 10.1002/app.33348
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Development of new concepts for the control of polymerization processes: Multiobjective optimization and decision engineering. II. Application of a Choquet integral to an emulsion copolymerization process

Abstract: International audienceIn polymer industry, engineers seek to obtain polymers with prescribed end-use properties, high productivities, and low cost. Thus, the optimization of a manufacturing process with all those goals and constraints belongs to a problem domain that aims to achieve the best trade-off possible. This article concerns the optimization of the batch emulsion polymerization of styrene and α-methylstyrene. An accurate model was developed to describe the complete patterns of the emulsion polymerizati… Show more

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Cited by 10 publications
(4 citation statements)
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“…Furthermore, authors varied genetic algorithm operators to conclude about their influence on the objective: 1) main operators:: for the initiator residue concentration and conversion deviation, least influence if altogether operators used; 2) associated operators: elitism proven to be the best. Nayak and Gupta 124 , Kachap and Guria 125 , and Camargo et al 126 applied the multiobjective optimization (MOO) method, incorporated within particular (un)sorting genetic algorithms, that will not be discussed thoroughly, however, details can be found in Table 1.…”
Section: B →C+d A+b+c → E+dmentioning
confidence: 99%
“…Furthermore, authors varied genetic algorithm operators to conclude about their influence on the objective: 1) main operators:: for the initiator residue concentration and conversion deviation, least influence if altogether operators used; 2) associated operators: elitism proven to be the best. Nayak and Gupta 124 , Kachap and Guria 125 , and Camargo et al 126 applied the multiobjective optimization (MOO) method, incorporated within particular (un)sorting genetic algorithms, that will not be discussed thoroughly, however, details can be found in Table 1.…”
Section: B →C+d A+b+c → E+dmentioning
confidence: 99%
“…[22] For this purpose, using the knowledge of a group of experts in the area of application is desirable and easy to implement. This type of formalization of preferences has been applied before in chemical processes, [15,[23][24][25] but not as a component of a product design methodology. Figure 2 schematizes the methodology proposed to systematically complete the design process.…”
Section: Structuresmentioning
confidence: 99%
“…The best individuals are combined to generate new ones that might perform better, while the worst individuals are removed from the population after each cycle and the procedure continues until the population has "evolved" to such a point where the desired convergence to an optimal has been achieved. Detailed information on the theoretical basis of EAs for mono-and multiobjective optimization, applied on physicochemical processes, can be found in the relevant literature (Camargo et al, 2011;Fonteix et al, 1995;Viennet et al, 1996;Xi et al, 2013). EAs have also been successfully implemented in the optimization study of the degradation of phenol by a combined photocatalysis/electro-Fenton system (Khataee et al, 2014).…”
Section: Optimization Studymentioning
confidence: 99%