The decision-making of Top management team (TMT) has been a hot point in academic. The paper find out annealing algorithm method can effectively solve the decision-making optimization problem. Through considering the quality and efficiency of decision-making, applying the annealing algorithm, the optimal decision preference sequence is found. Finally, an application case is proposed. Through de...

In this contribution, the Co doped SnO2 transparent semi-conducting films are prepared by spray pyrolysis technique and the influence of N2-and Ar-ambient annealing on their structural, electrical and optical properties are studied. The SnO2:Co thin films were deposited on the glass substrate at substrate temperature of 480 ˚C using an aqueous-ethanol solution consisting of tin and cobalt chlor...

The microstructure of HP stainless steel in aged and aged + solution annealed conditions and solutionized alloy 800 was characterized by optical microscopy, scanning electron microscopy (SEM), and transmission electron microscopy (TEM) equipped by EDS. All phases present in the above condition were described. The effects of solution annealing heat treatment temperature on the microstructure, te...

In this study, the TiO2 nanorods were synthesized from P25 TiO2 nanoparticles by hydrothermal method in 10 M NaOH solution. The effects of annealing temperatures on produced nanorods were investigated  by scanning  electron microscopy (SEM) X-ray diffraction (XRD) and photoluminescence (PL) spectroscopy. Diameter growth...

In this paper, we investigate bifurcation processes for the mean eld theory (MFT) annealing applied to traveling salesman problems (TSPs). Due to the symmetries of the TSP free energy function, some special bifurcations occur: cyclic symmetry breaking bifurcations and reverse symmetry breaking bifurcations. Saddle-node bifurcations also occur. Which type of bifurcations occurs depends on the sy...

The purpose of this article is to review the literature on the topic of deterministic vehicle routing problem (VRP) and to give a review on the exact and approximate solution techniques. More specifically the approximate (meta-heuristic) solution techniques are classified into: tabu search, simulated annealing, genetic algorithm, evolutionary algorithm, hybrid algorithm, and Ant Colony Opti...

We empirically evaluate a stochastic annealing strategy for Bayesian posterior optimization with variational inference. Variational inference is a deterministic approach to approximate posterior inference in Bayesian models in which a typically non-convex objective function is locally optimized over the parameters of the approximating distribution. We investigate an annealing method for optimiz...

In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions.A simulated annealing algorithm for the clustering problem. The solution of the clustering problem usually solved by the K-means algorithm.In this paper, we explore the applicability of simulated annealing. Clustering problem is investigat...

We develop a hybrid type of quantum annealing in which we control temperature and quantum field simultaneously. We study the efficiency of proposed quantum annealing and find a good schedule of changing thermal fluctuation and quantum fluctuation. In this paper, we focus on clustering problems which are important topics in information science and engineering. We obtain the better solution of th...