Simulated annealing and optimal protocols

  • Marzio Pennisi
  • , Roberto Catanuto
  • , Francesco Pappalardo
  • , Santo Motta
  • , Emilio Mastriani
  • , Alessandro Cincotti

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

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.

Lingua originaleInglese
pagine (da-a)1565-1579
Numero di pagine15
RivistaJournal of Circuits, Systems and Computers
Volume18
Numero di pubblicazione8
DOI
Stato di pubblicazionePubblicato - dic 2009
Pubblicato esternamente

Fingerprint

Entra nei temi di ricerca di 'Simulated annealing and optimal protocols'. Insieme formano una fingerprint unica.

Cita questo