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Recently, Point of Interest Recommendation is widely used in LBS navigation systems. It makes use of the real-time GPS locations of users as well as their preferences to recommend POIs that mostly match these preferences and the paths leading to the POIs. Previous studies are focused on the following two issues: (1) Similarity measurement between POIs and the user preferences, and (2) Optimum path...
This paper focuses on the problem of delivery and scheduling for perishable goods with time-window. The aim is to find an optimal solution to minimize whole cost of delivery system. The challenge of this problem is that there are several trade-off between time constraint and cost constraint. We propose that genetic algorithm will be applied to research to find solution which meet customers' requirements...
Hybrid Electric Vehicles (HEVs) enable fuel savings by re-using kinetic and potential energy that was recovered and stored in a battery during braking or driving down hill. Besides, the vehicle itself can be seen as a storage device, where kinetic energy can be stored and retrieved by changing the forward velocity. It is beneficial for fuel consumption to optimize the velocity trajectory in two ways;...
Vehicle routing optimization problem with time constraint is researched in this paper and a hybrid optimization algorithm-PBIL combined with ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customerspsila time restriction. The probability matrix of PBIL algorithm is modified with the positive feedback and information disappearing...
The intelligent optimization algorithm PBIL is applied to VRP. Faced to the concrete problem that the objective function is to minimize the cost and meet the time restriction. And the probability statistics for the road traffic status distributed in working hours is considered to decide the routing. The probability matrix of PBIL algorithm is modified with the quick velocity update strategy of particle...
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