Speeding up critical system dynamics through optimized evolution
نویسندگان
چکیده
منابع مشابه
Speeding up critical system dynamics through optimized evolution
Tommaso Caneva,1,2 Tommaso Calarco,2 Rosario Fazio,3 Giuseppe E. Santoro,1,4,5 and Simone Montangero2 1International School for Advanced Studies (SISSA), Via Beirut 2-4, I-34014 Trieste, Italy 2Institut für Quanteninformationsverarbeitung, Universität Ulm, D-89069 Ulm, Germany 3NEST, Scuola Normale Superiore & Istituto di Nanoscienze-CNR, Piazza dei Cavalieri 7, I-56126 Pisa, Italy 4CNR-INFM De...
متن کاملSpeeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-type evolutionary algorithms that employ mutation and/or recombination, LEM employs machine learning to generate new populations. At each step of evolution, LEM determines hypotheses explaining why certain individuals in ...
متن کاملThe Impact of Speeding up Critical
While shared-memory multiprocessing ooers a simple model for process synchronization, actual synchronization may be expensive. Indeed, processors may have to wait for a long time to acquire the lock of a critical section. In addition, a processor may have to stall for a long time waiting for all of its pending accesses to complete before releasing the lock. To address this problem, we target we...
متن کاملSpeeding up Searching in B-cloud System
With the enormous growth in data amount day by day storage demands have been imposed crucial requirements for data center, where data access plays essential role in estimation of data storage systems effectiveness. For that, there were a lot of efforts have been done to speed up searching in huge storage systems. Deduplication, one of the latest technologies in storage systems world, is founded...
متن کاملCritical speeding-up in a local dynamics for the random-cluster model
We study the dynamic critical behavior of the local bond-update (Sweeny) dynamics for the Fortuin–Kasteleyn random-cluster model in dimensions d = 2, 3, by Monte Carlo simulation. We show that, for a suitable range of q values, the global observable S2 exhibits “critical speeding-up”: it decorrelates well on time scales much less than one sweep, so that the integrated autocorrelation time tends...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review A
سال: 2011
ISSN: 1050-2947,1094-1622
DOI: 10.1103/physreva.84.012312