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Evolutionary Algorithms for Static and Dynamic Multiobjective Optimization

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Figure

Fig. 3.1 Distribution of the extreme weight vectors (circles) and intermediate weight vec- vec-tors (black dots): (a) the 2-objective case; (b) the 3-objective case.
Fig. 3.2 PF approximations with the lowest IGD values among 30 runs on F1-F3.
Fig. 3.3 PF approximations with the lowest IGD values among 30 runs on F4, UF4 and convex DTLZ2.
Table 3.3 Best, median and worst IGD and HV values of the peer algorithms on four test problems
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