A tensile sample of an Al-0.1Mg alloy was in-situ tested in a SEM followed by insitu annealing to develop recrystallizing nuclei/grains. The evolution of microstructure and crystallographic orientations were characterized using the EBSD technique. Changes in the same area within the sample during deformation and annealing steps were closely followed. During the deformation process the original ...

Article history: Simulated-annealing-based Received 31 October 2007 Accepted 19 September 2008

The web newspaper pagination problem consists in optimizing the layout of a set of articles extracted from several web newspapers and sending it to the user as the result of a previous query. This layout should be as similar as possible to that of real newspapers and should be adapted to the user's web browser con®guration in real time. Previous approaches to the problem took rather a long time...

This research comprises a study of the effect of heat treatment on fatigue behavior of (A193-51T-B7) alloy steel. Two heat treatment processes were conducted, namely, annealing and quenching followed by tempering at 200C. All fatigue tests were carried out using a rotary bending machine with constant stress ratio, R=-1. The eddy current probe was used to measure the crack length propagation. Fr...

Simulated annealing (SA) algorithms can be modeled as time-inhomogeneous Markov chains. Much work on the convergence rate of simulated annealing algorithms has been well-studied. In this paper, we propose an adiabatic framework for studying simulated annealing algorithm behavior. Specifically, we focus on the problem of simulated annealing algorithms that start from an initial temperature T0 an...

In this paper, we propose sequential Monte Carlo simulated annealing (SMC-SA), a populationbased simulated annealing algorithm, for continuous global optimization. SMC-SA incorporates the sequential Monte Carlo method to track the converging sequence of Boltzmann distributions in simulated annealing, such that the empirical distribution will converge weakly to the uniform distribution on the se...

This paper proposes a new algorithm of a simulated annealing (SA): Parallel Simulated Annealing using Genetic Crossover (PSA/GAc). The proposed algorithm consists of several processes, and in each process SA is operated. The genetic crossover is used to exchange information between solutions at fixed intervals. While SA requires high computational costs, particularly in continuous problems, thi...