Ching-Shih Tsou

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Biology inspired algorithms have been gaining popularity in recent decades and beyond. These methods are based on biological metaphor such as Darwinian evolution and swarm intelligence. One of the most recent algorithms in this category is the Particle Swarm Optimization (PSO). PSO is a population-based approach using a set of candidate solutions, called(More)
Duncan first proposed the economic design of x control charts in 1956 to control normal process means and ensure that an economic design control chart actually lowers the cost, compared with a Shewhart control chart. Many authors have studied the control charts from economic viewpoint from then on. An economic design does not consider the statistical(More)
Robust parameter design has been successfully applied to a variety of engineering problems for enhancing the robustness of the system; however, it cannot deal with multiple dynamic quality systems. Although several other approaches have been presented to resolve this problem, they are unable to efficiently treat the situations that the control factors have(More)
A useful graphical output from the statistical inventory mathematics is the expected cost versus service level exchange curve. Such graphs demonstrate the nonlinear relationship between increasing cost and service level given the constraints on the business. The curve represents the operating objective and many managers refer to this curve as the efficient(More)
Particle swarm optimization algorithm is easy to reach premature convergence in the solution process, and fall into the local optimal solution. Aiming at the problem, this paper proposes a particle swarm optimization algorithm with chaotic mapping (CM-PSO). The algorithms uses chaotic mapping function to optimize the initial state of population, improve the(More)