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Table 7 Best estimated values of the model parameters obtained from artificial data with 20% noise.

From: Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis

   CO TO
c c* DASA PSO DE A717 DASA PSO DE A717
c 1 1 4.0000 1.4644 0.2226 1.6393 3.1593 1.5627 1.8293 0.2974
c 2 0.3 3.7099 2.0786 1.1132 2.5748 3.7499 2.7324 4 2.5086
c 3 0.1 0.1977 1.2612 0.1974 0.0229 3.3526 0.2064 0.2682 0.5823
c 4 2.5 3.5412 0.4192 3.1208 3.3226 0.2007 1.5837 3.7871 0.1709
c 5 1 3.9940 1.4613 0.2217 1.5411 3.1287 1.4623 1.7688 0.5845
c 6 0.483 0.5165 3.0640 3.6860 1.3897 0.4074 1.8952 0.4713 1.9140
c 7 0.21 3.9471 2.6526 0.1503 1.5383 1.7030 2.9345 3.4951 2.0874
c 8 3 3.1843 1.5314 3.4591 1.6254 1.5254 1.6742 3.1784 3.5895
c 9 0.1 0.1563 1.5057 0.0524 3.1257 1.6444 1.5321 0.9762 1.9652
c 10 0.021 2.0757 1.8316 0.0645 2.4551 0.2091 2.1490 1.4581 1.1780
c 11 1 1.8340 2.9039 2.2013 2.3769 2.5222 3.2725 1.9195 2.6830
c 12 3 3.1572 2.2358 1.7009 2.8349 1.2553 1.5096 0.1557 1.2227
c 13 0.31 4.0000 1.7187 0.9381 0.6126 4.0000 2.9568 3.4364 3.2812
c 14 0.3 1.0661 1.3179 0.3833 2.2955 1.7539 1.1975 0.8110 2.4085
c 15 3 2.3525 1.7764 3.9800 3.6281 2.1599 2.1684 3.5535 3.3994
c 16 0.483 0.5178 3.0728 3.6981 1.2091 0.4224 2.0041 0.7261 2.7693
c 17 0.06 1.8635 0.4696 0.4159 2.0548 0.8316 1.3081 1.7687 0.2836
c 18 0.15 2.7213 1.0043 0.1087 0.4984 0.5992 1.0744 1.3643 0.6677
r5(0) 1.0 0.8750 0.9116 0.9122 0.9535 0.9957 0.4830 0.9239 1.4011
R5(0) 0.001 4.0E-07 0.0358 0.1194 1.0854 3.3E-07 0.2313 0 1.3742
r7(0) 1.0 0.8096 1.3352 0.7978 0.1557 1.0153 0.4473 0.7310 1.0320
R7(0) 0.001 1.2E-10 0.2444 3.4E-04 0.8451 0.0139 0.1696 0.2515 0.9143
  1. Best parameters' values as estimated by the four optimization methods from artificial data with 20% relative noise in the CO and TO observation scenarios.