| dc.description.abstract | In human activities a lot of decision-making issues exist, among them, the decision-making process, tool, and approach, all these need to acquire the best solution to meet their requirements. Inevitably, the solution-seeking process focuses on the experience-accumulation and tool-application. Following the activity scope of human-from narrow to wide; and their mutual link-from loose to tight, the facing problems have become more and more complex. Earlier experiences or tools seem not possible to deal with existing big problem efficiently.
Scholars explored the potential intelligence from the system of biological colony behavior, fueled by the fast development of calculator technology, to present a series of solution derived from the biological intelligence concept. However, the particle swarm optimization algorithm (PSO) is a solution formula through the calculation on self experience and colony experiences of creatures. Its merits include few parameters setting, prompt sourcing speed, and high feasibility. Consequently, many scholars had massively announced the related applications in practice.
This thesis adopts the merits of PSO to deal with the optimization problem of enterprise’s network procurement, in order to provide references of more simple, effective, and optimal standards. Thereby it offers a more efficient tool for the project-performer in the course of decision making.
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