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The geometric concepts of outer containing cylinder for space finite points have frequently been introduced into the evaluation of molding error of cylinder surface in the operation of mechanical manufacturing and mold processing. Since space finite points obviously consists of numerous outer containing cylinders, a mathematical model is built to find the minimum outer containing cylinder in this...
In this paper we investigate the global optimization problems with bounded variables and linear equality constraints. We suggest an approach to drawing sample points randomly from the feasible region. A new population-based global optimization algorithm is proposed. We also show that the algorithm converges to the global optimal solution with probability one. The method is easily extended to global...
In the open agent systems, agents have to meet how, when and with who interact. Trust and reputation play an important role in reduces the uncertain. However, existing trust metric is not effective when an agent strategically behaviors, such as sudden behavior or alter 'name'. This paper presents a novel trust metric, which can penalize behavior of the suddenly falling behavior and change 'name'.
This paper modified the structure of the original PSO algorithm. It proposes that the particles' position have relationship with the one particle's and the whole swarm's perceive extent in the processing of this time and last time, and presents the inertial weight based on simulated annealing temperature. So a new Particle Swarm Optimization algorithm (NPSO) is proposed. It can not improve the one...
This paper presents a user steered segmentation algorithm based on the radial basis function (RBF) curve fitting for blurred medical image caused by the continuity of organism, which results in the difficulties of algorithm based on the radial basis function (RBF) curve fitting for blurred medical image caused by the continuity of organism, which results in the difficulties of satisfactory automatic...
To deal with the problem of premature convergence and slow search speed of PSO, inspired by the classical 5-nearest neighbor method, a reinforced self-escape discrete particle swarm optimization algorithm (RSEDPSO) is proposed in this paper. The modified method of selecting candidate edges can enhance the performance of RSEDPSO to explore the global minimum thoroughly. The 5-relative nearest neighbor...
The particle swarm optimization algorithm is a new kind of random optimization algorithm based on the swarm intelligence. It has been used in many field and it work very well. Many papers about the selection of the parameters have been written. This paper shows that the velocity vt of the PSO is cyclic when the parameters are constants. So It gives the reason for the randomicity in the PSO.
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