IEEE Computational Intelligence Magazine - November 2021 - 93

Specifically, the sample project " anticancer
biorobots " (see [21] for details) of
the PhysiCell simulator (v.1.6.1) is used
to simulate the NP's interaction with
the tumor, as in previous works [30],
[32], [33]. However, here the need to
simulate complex multi-NP-based treatments
leads to an alternation in the
source code (Please refer to the Supplementary
Material for details). NonetheN
= 20
35
120
115
30
110
25
105
20
5
K
(a)
10
15
100
5
K
(b)
FIGURE 9 Average genome length values (maximum and minimum values are indicated by vertical bars) for increasing and decreasing functionality
by one gene (G = 1).
10
15
less, similar to the aforementioned
works, here the design of a NP can
reflect to a point in a 5-dimensional
space of the following parameters (with
their range in the brackets): attached
worker migration bias [0,1], unattached
worker migration bias [0,1], worker relative
adhesion [0,10], worker relative
repulsion [0,10], worker motility persistence
time (min) [0,10]. The rest of the
user-defined parameters are not altered
from the original instance published by
the developers of the simulator and are
presented in Table 1.
The scenario in the sample project
" anti-cancer biorobots " of the agentbased
PhysiCell simulator is the following
(for more extensive details refer to [21]).
An initial tumor with a total radius of
200 μm of cancer cells (approximately
N = 100
N = 20
N = 100
23.5
24
22.5
23
21.5
22
21
0 0.1 0.2 0.3 0.4 0.5
Probability Cut G = 1
(a)
K = 2
102
103
104
105
106
107
108
0 0.1 0.2 0.3 0.4 0.5
Probability Cut G = 1
(b)
K = 6
K = 15
FIGURE 10 Average final lengths for combinations of N and K values, and decrease functionality probability.
NOVEMBER 2021 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 93
Length N′
Length N′
Length N′
Length N′

IEEE Computational Intelligence Magazine - November 2021

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