Optimization and Computational Fluid Dynamics - Department of ...

36 Gábor Janiga
∆P [mPa]
2.2
2.0
1.8
1.6
1.4
1.2
1.0
0.8
0.6
Feasible, but non-optimal solutions
Pareto front: Set of optimal solutions
Infeasible configurations
14 16 18 20
∆T [K]
22 24 26
Fig. 2.10 Results of the best evaluations after 20 generations of the EA: Pareto front
(POF), feasible and infeasible configurations
(a) ∆T =14.9 K,∆P =0.79 mPa. (b) ∆T =18.6 K,∆P =1.03 mPa.
(c) ∆T =21.5 K,∆P =1.33 mPa. (d) ∆T =23.7 K,∆P =1.59 mPa.
(e) ∆T =25.4 K,∆P =2.04 mPa.
Fig. 2.11 Example of the resulting placement for 5 individuals belonging to the POF.
The flow direction is from left to right
2.3.6.2 EA Parameters
The objective values obtained from the simulations are shown as a function
of the number of generations in Fig. 2.12, in which only the non-dominated
configurations are represented. We observe that the POF can be recognized