The simulated annealing (SA) algorithm [12] [5] has been widely used to address intractable global optimizations in many elds, including training of articial neural networks. Implementations of annealing universally use a monotone decreasing, or \cooling", temperature schedule which is motivated by the algorithm's proof of optimality as well as analogies with statistical thermodynamics. In this...

The MuCool R&D program is described. The aim of MuCool is to develop all key pieces of hardware required for ionization cooling of a muon beam. This effort will lead to a more detailed understanding of the construction and operating costs of such hardware, as well as to optimized designs that can be used to build a Neutrino Factory or Muon Collider. This work is being undertaken by a broad coll...

The MuCool R&D program is described. The aim of MuCool is to develop all key pieces of hardware required for ionization cooling of a muon beam. This effort will lead to a more detailed understanding of the construction and operating costs of such hardware, as well as to optimized designs that can be used to build a Neutrino Factory or Muon Collider. This work is being undertaken by a broad coll...

In this study we have tackled the NP-hard problem of academic class scheduling (or timetabling) at the university level. We have investigated a variety of approaches based on simulated annealing, including mean-field annealing, simulated annealing with three different cooling schedules, and the use of a rule-based preprocessor to provide a good initial solution for annealing. The best results w...

The aim of the present study is to elucidate how simulated annealing (SA) works in its finite-time implementation by starting from the verification of its conventional optimization scenario based on equilibrium statistical mechanics. Two and one supplementary experiments, the design of which is inspired by concepts and methods developed for studies on liquid and glass, are performed on two type...

Proper temperature control is essential in minimizing Clostridium perfringens germination, growth, and toxin production. The U.S. Department of Agriculture (USDA) Food Safety and Inspection Service (FSIS) offers two options for the cooling of meat products: follow a standard time-temperature schedule or validate that alternative cooling regimens result in no more than a 1-log(10) CFU/g increase...

Energy consumption is increasingly affecting battery life and cooling for computer systems. Dynamic Voltage and frequency Scaling (DVS) has been shown to substantially reduce the amount of power required for uniprocessor and multiprocessor real-time systems that have independent tasks or a statically computed schedule. However, no DVS algorithm has been demonstrated for tasks with precedence co...

Several algorithms in optimization, computer science and statistical mechanics are closely related to the problem of sampling from a Boltzmann distribution parameterized by the so-called temperature over a finite set. These include (i) Simulated Annealing (SA) [6], (ii) calculating the permanent of a nonnegative matrix [1], (iii) estimating the volume of a convex body [7], and (iv) computing pa...

Cooling systems play a key role in maintaining human comfort inside buildings. The challenges that are facing conventional cooling the rapid growth of total energy and annual electricity consumption commercial This is even more significant countries with an arid climate, where typically working 80% year. Thus, there has been growing interest developing smart control models to assign optimal set...