With the formation of the competitive electricity markets in the world, optimization of bidding strategies has become one of the main discussions in studies related to market designing. Market design is challenged by multiple objectives that need to be satisfied. The solution of those multi-objective problems is searched often over the combined strategy space, and thus requires the simultaneous...

In the present study, the presence of brass mesh on the bond strength of aluminum (AA1050) strips in the cold roll bonding process was investigated. The influence of various process parameters including reduction in thickness, pre-rolling annealing, initial thickness of the strips, and post-rolling annealing was also considered. After cold roll bonding process, peeling test was carried out and ...

We study errors of quantum annealing and simulated annealing to highlight better performance of quantum annealing over simulated annealing. Quantum annealing and simulated annealing perform optimization through a quantum adiabatic evolution and a quasi-static evolution respectively. In both methods, dynamics across a phase transition plays a crucial role. The Kibble-Zurek mechanism is known as ...

Abstract A model for the emission of point defects by defect sinks is proposed object kinetic Monte Carlo simulations. Local equilibrium in vicinity ensured construction, even if elastic interactions are taken into account diffusion defects. The vacancies dislocation segments treated detail and validated numerically. then used to simulate annealing a vacancy Frank loop system containing surface...

In this paper, we present a data mining approach to challenges in the matching and integration of heterogeneous datasets. In particular, we propose solutions to two problems that arise in combining information from different results of scientific research. The first problem, attribute matching, involves discovery of correspondences among distinct numeric-typed summary features (“attributes”) th...

This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be significantly accelerated when implemented on programmable graphics hardware. More precisely, this contribution exposes how the parallel abilities of a standard Graphics Processing Unit (usually devoted to image synthesis) c...

An accurate SO(2) prediction method for using broadband continuous-wave diffuse reflectance near infrared (NIR) spectroscopy is proposed. The method fitted the NIR spectra to a Taylor expansion attenuation model, and used the simulated annealing method to initialize the nonlinear least squares fit. This paper investigated the effect of potential spectral interferences that are likely to be enco...

The identification of a set of genetic manipulations that result in a microbial strain with improved production capabilities of a metabolite with industrial interest is a big challenge in Metabolic Engineering. Evolutionary Algorithms and Simulated Annealing have been used in this task to identify sets of reaction deletions, towards the maximization of a desired objective function. To simulate ...

Musical composition can be roughly viewed as a search for the best solution among a nite-although huge-universe of possibilities. Some of the algorithmic compositional techniques try to simulate the act of composing doing this search automatically. However, this approach has two major problems. The rst one is the hardness of depicting aesthetic concepts through mathematical rules. The second pr...