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...

Recrystallization in copper deformed by dynamic plastic deformation was investigated using electron backscatter diffraction. The recrystallized grains show a broad size distribution. The kinetics of grains of different sizes is observed to be different: In the beginning of recrystallization, the area fraction of small recrystallized grains increases rapidly. At later stages of recrystallization...

Soft magnetic properties of Fe-Co-Ni-Al-Cr-Si thin films were studied. As-deposited Fe-Co-Ni-Al-Cr-Si nano-grained thin films showing no magnetic anisotropy were subjected to field-annealing at different temperatures to induce magnetic anisotropy. Optimized magnetic and electrical properties of Fe-Co-Ni-Al-Cr-Si films annealed at 200 ◦C are saturation magnetization 9.13 × 105 A/m, coercivity 79...

Jooyoung Lee,†,‡ Daniel R. Ripoll,§ Cezary Czaplewski,†,| Jarosław Pillardy,† William J. Wedemeyer,† and Harold A. Scheraga*,† Baker Laboratory of Chemistry and Chemical Biology, Cornell UniVersity, Ithaca, New York 14853-1301, Program of Computational Sciences, Korea Institute for AdVanced Study, Seoul 130-012, Korea, Cornell Theory Center, Ithaca, New York 14853-3801, and Faculty of Chemistry...

See the abstract for Chapter D3.