in today’s dynamic market, organizations must be adaptive to market fluctuations. in addition, studies show that material-handling cost makes up between 20 and 50 percent of the total operating cost. therefore, this paper considers the problem of arranging and rearranging, when there are changes in product mix and demand, manufacturing facilities such that the sum of material handling and rearr...

Finding the integrated likelihood of a model given the data requires the integration of a nonnegative function over the parameter space. Classical Monte Carlo methods for numerical integration require a bound or estimate of the variance in order to determine the quality of the output. The method called the product estimator does not require knowledge of the variance in order to produce a result...

It was Kirkpatrick et al. who first proposed simulated annealing, SA, as a method for solving combinatorial optimization problems[1]. It is reported that SA is very useful for several types of combinatorial optimization problems[2]. The advantages and the disadvantages of SA are well summarized in [3]. The most remarkable disadvantages are that it needs a lot of time to find the optimum solutio...

This paper introduces a new and very simple search methodology called Late Acceptance Hill-Climbing (LAHC). It is a one-point iterative search algorithm, which accepts non-improving moves when a candidate cost function is better (or equal) than it was a number of iterations before. This value appears as a single algorithmic input parameter which determines the total processing time of the searc...

Due to the tremendous cooling costs, data center cooling efficiency improvement has been actively pursued for years. In addition to cooling efficiency, the reliability of the cooling system is also essential for guaranteed uptime. In traditional data center cooling system design with N+1 or higher redundancy, all the computer room air conditioning (CRAC) units are either constantly online or cy...

The classical version of simulated annealing is based on a cooling schedule. Generally, the initial temperature is set such that the acceptance ratio of bad moves is equal to a certain value χ0. In this paper, we first propose a simple algorithm to compute a temperature which is compatible with a given acceptance ratio. Then, we study the properties of the acceptance probability. It is shown th...

A Monte Carlo c^timization technique called "simulated annealing" is a descent algorithm modified by random ascent moves in order to escape local minima which are not global minima. Tlie levd of randomization is determined by a control parameter T, called temperature, which tends to zero according to a deterministic "cooling schedule". We give a simple necessary and suffident conditicm on the c...

Throughout the years, the importance of the maintenance management system and their functions has grown rapidly. Cooling towers are used in many process applications in the various industries. Reliability of these towers is crucial. In many cases, redundant towers are installed to ensure a process will not have to be stopped due to a cooling tower failure. The most prevalent cause of cooling to...

Many network services, such as video conferencing and video on demand, have popularly used the multimedia communications. The attached hosts/routers are required to transmit data as multicasting in most multimedia applications. In order to provide an ecient data routing, routers must provide multicast capability. In this paper, a new cooling schedule in Hop®eld neural network with annealing st...