BiteOpt uses self-optimization techniques making it objective function-agnostic. In its inner workings, BiteOpt uses objective function value's ranking, and not the actual value. BiteOpt is a multi-faceted example of a "probabilistic computing" system. ...
Discrete Mathematics Tutorial - Explore the fundamentals of Discrete Mathematics, including set theory, logic, and combinatorics. Perfect for students and professionals looking to strengthen their mathematical skills.
and Bekhor, S. (1998). The link-nested logit model of route choice: overcoming the route overlapping problem, Transportation Research Record 1645: 133–142. Google Scholar Walker, J. L. (2001). Extended discrete choice models: integrated framework, flexible error structures, and latent ...
The second branch is called “combinatorial optimization,” where the discrete set is a set of objects or combinatorial structures such as assignments, combinations, routes, schedules, or sequences (Papadimitriou and Steiglitz, 1998; Schrijver, 2003). In continuous optimization, the system's ...
"A Tutorial Overview of Optimization via Discrete-Event Simulation". In 11th Int. Conf. on Analysis and Optimization of Systems, edited by G. Cohen and J.-P. Quadrat, Volume 199 of Lecture Notes in Control and Information Sciences, pp. 409-418. Sophia-Antipolis, Springer-Verlag....
In this tutorial, we first introduce the MRM formalism with different types of reward structures and explain how these can be combined to a performance measure for the system model. We provide running examples which show how some of the above mentioned performance measures can be employed. ...
In addition, combined optimization and simulation tools allow decision-makers to quickly determine optimal system configurations, even for complex integrated facilities. This chapter provides an overview of discrete-event simulation modeling applications to health care clinics and integrated health care ...
Zhu, L., Haker, S., Tannenbaum, A.: Area-preserving mappings for the visualization of medical structures. In: Ellis, R., Peters, T. (eds.) Medical Image Computing and Computer-Assisted Intervention (MICCAI 2003). Lecture Notes in Computer Science, vol. 2879, pp. 277–284. Springer, Be...
The performance optimization of such systems is generally different from the traditional optimization approaches, such as Markov decision processes or dynamic programming. The goal of this tutorial is to introduce, in an intuitive manner, a new optimization framework called event-based optimization. This...
Weatherley D, Hancock W and Boris V (2014) Esys-particle tutorial and user’s guide version 2.1. Earth Systems Science Computational Centre, The University of Queensland Wendeler C, Volkwein A (2015) Laboratory tests for the optimization of mesh size for flexible debris-flow barriers. Nat Hazar...