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Table 2 Average criterion values of the locally D-optimal designs found by genetic algorithm (GA), particle swarm optimization (PSO) and competitive swarm optimizer (CSO) for the 5-factor models, along with their standard deviations in parentheses

From: Particle swarm based algorithms for finding locally and Bayesian D-optimal designs

Model

GA

PSO

CSO

8-1

29.54(0.83)

31.05(1.51)

28.80(0.37)

8-2

29.76(1.12)

30.78(1.07)

28.91(0.54)

9-1

-167.30(1.31)

-163.11(0.92)

-169.04(1.24)

9-2

-100.14(1.71)

-93.23(1.40)

-100.35(0.64)

Average Runtime

95.2s

64.5s

42.3s