Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1142/S0218126609005770 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | Field | DocType |
Simulated annealing,optimization,cancer,vaccine | Simulated annealing,Mathematical optimization,Supercomputer,Simulation,Computer science,Control theory,Vaccination schedule,Genetic algorithm,In silico | Journal |
Volume | Issue | ISSN |
18 | 8 | 0218-1266 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marzio Pennisi | 1 | 109 | 23.03 |
| Roberto Catanuto | 2 | 52 | 3.64 |
| Francesco Pappalardo | 3 | 189 | 28.53 |
| Santo Motta | 4 | 202 | 29.74 |
| Emilio Mastriani | 5 | 1 | 1.38 |
| Alessandro Cincotti | 6 | 18 | 7.19 |