Many human tumors cannot easily be avoided. In most cases a prophylactic vaccination prevents the tumor growth. In particular the Triplex vaccine prevented mammary carcinoma formation using a Chronic schedule, but it is not known if this schedule is minimal. A computational model named SimTriplex was able to reproduce in silico the in vivo experiments. The combination of SimTriplex and Genetic Algorithms (GA), produced a minimal vaccination schedule capable to guarantee in silico survival. This process required the use of a High Performance Computing (HPC) infrastructure for several days. In this paper we show another optimization procedure based on simulated annealing approach used to get a faster algorithm response.

Simulated Annealing And Optimal Protocols

PENNISI, MARZIO ALFIO;PAPPALARDO, FRANCESCO;MOTTA, Santo
2009-01-01

Abstract

Many human tumors cannot easily be avoided. In most cases a prophylactic vaccination prevents the tumor growth. In particular the Triplex vaccine prevented mammary carcinoma formation using a Chronic schedule, but it is not known if this schedule is minimal. A computational model named SimTriplex was able to reproduce in silico the in vivo experiments. The combination of SimTriplex and Genetic Algorithms (GA), produced a minimal vaccination schedule capable to guarantee in silico survival. This process required the use of a High Performance Computing (HPC) infrastructure for several days. In this paper we show another optimization procedure based on simulated annealing approach used to get a faster algorithm response.
2009
Computational model; Simulated annealing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/52185
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