**2.6 Analysis of results**

Tabu search (TS) is designed and applied to compute the optimal control policies that meet the single and multiple objectives of SAN copolymerization reactor. The dual control policies of *T* and *u* computed by TS for multistage dynamic optimization of polymerization reactor along with the objective function values are shown

#### **Figure 3.**

*Dual control policies and objectives: (a) Temperature policy, (b) Feed rate policy, (c) Molecular weight as an objective, and (d) Copolymer composition as an objective.*


**Table 1.**

*Computational efficiencies of TS strategy.*

in **Figure 3**. These results exhibit the efficiency of TS in computing both the temperature and feed rate policies for the reactor to maintain *MW* and *F*<sup>1</sup> almost near to their desired values. The computational efficiencies of TS are evaluated by means of execution times, normalized absolute error values and memory storage requirements as shown in **Table 1**.
