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Team:Groningen/Modelling/21 August 2013
From 2013.igem.org
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| - | Today we identified another faulty differential equation, and we implemented the simulating annealing algorithm for a dummy problem. The error function was simply the distance between some current value x and some goal y. The algorithm stabilizes around the goal as the time (or temperature) decreases, along with the degree of randomness. The plots below illustrate this for y = 1.9 and 0.4 respectively. | + | Today we identified another faulty differential equation, and we implemented the simulating annealing algorithm for a dummy problem. The error function was simply the distance between some current value x and some goal y. The algorithm stabilizes around the goal as the time (or temperature) decreases, along with the degree of randomness. The plots below illustrate this for y = 1.9 and 0.4 respectively. The search space was any value between 0.0000 and 2.0000. |
[[File:Goal1.jpg]] | [[File:Goal1.jpg]] | ||
[[File:Goal2.jpg]] | [[File:Goal2.jpg]] | ||
Revision as of 14:06, 21 August 2013
Today we identified another faulty differential equation, and we implemented the simulating annealing algorithm for a dummy problem. The error function was simply the distance between some current value x and some goal y. The algorithm stabilizes around the goal as the time (or temperature) decreases, along with the degree of randomness. The plots below illustrate this for y = 1.9 and 0.4 respectively. The search space was any value between 0.0000 and 2.0000.
