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The paper describes the design, implementation, and test of an autonomous vehicle navigation system using vehicle model and particle filter tracking algorithm. Typically, a vehicle navigation system comprises of real-time environment perception, vehicle localization, collision avoidance, path planning, and path following. In order to achieve the features for intelligent autonomous vehicle, a sensor...
We formulate the problem of materials budget allocation for academic libraries by way of the mathematical programming model and design an effective algorithm using discrete particle swarm optimization to resolve the problem. The objective function is to maximize the average preferences of materials selection subjected to the constraints of material costs and required amounts in specified categories...
This paper studies a library materials problem in which materials are served for satisfying the information need of its patrons. The objective is to maximize the average preferences of acquired subjects. We first formulated the problem by means of the mathematical programming. Without loss of generality, some empirical constraints are considered, including subject costs and the required amount of...
This paper investigates a two-machine flowshop scheduling problem modeled from a real production context of a chemical factory that produces foam-related products. The operations are categorized as supportive items and regular jobs. Many different compositions of foam can be mixed at the foam blowing stage, and products are processed at the manufacturing stage. Each job on machine two cannot start...
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