|Global Journal of Technology and Optimization is blind peer-review journal in Monte Carlo acceptance. The journal encourages research motivated by the challenging problems related to new technology. The journal publishes papers online that document the development and use of industrial and systems engineering tools and techniques including operations research, statistics, information systems, work measurement, and human factors applications.
Monte Carlo simulations use random moves to explore the search space to find out some information about the space. In 1953, Nicholas Metropolis and coworkers proposed a new sampling procedure which incorporates a temperature of the system. This is done so that the Boltzmann average of a property of the system can be easily calculated. This modified Monte Carlo method is known as a Metropolis Monte Carlo simulation.
OMICS Group International is an amalgamation of Open Access publications and worldwide international science conferences and events. Established in the year 2007 with the sole aim of making the information on Sciences and technology Open Access, OMICS Group publishes 700+ peer-reviewed journals in all aspects of Science, Engineering, Management and Technology journals.