The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Many algorithms for continuous simulation optimization have been proposed, but the question of the number of replications at a specific point is always an issue. In this paper, instead of averaging replications of the objective function at a specific point (e.g., sample average), we average observed function evaluations from neighboring points. The Improving Hit-and-Run algorithm is modified to accommodate...
A provocative look at the remarkable contributions of high-skill immigrant entrepreneurs in AmericaBoth a revelation and a call-to-action, Immigrant, Inc. explores the uncommon skill and drive of America's new immigrants and their knack for innovation and entrepreneurship. From the techies who created icons of the new economy-Intel, Google, eBay and Sun Microsystems-to the young engineers tinkering...
This chapter emphasizes the history that has shaped Ecuador's current educational system, the current status of counseling, and the future of counseling and counselor training. The current educational policy in Ecuador allows for the placement of students in one of three educational areas: the medical science field, in which students enroll in courses such as biology and chemistry; an engineering...
Using Sampled Fictitious Play (SFP) concepts, we develop SFPL: Sampled Fictitious Play Learning — a learning algorithm for solving discounted homogeneous Markov Decision Problems where the transition probabilities are unknown and need to be learned via simulation or direct observation of the system in real time. Thus, SFPL simultaneously updates the estimates of the unknown transition probabilities...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.