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This paper presents a solution to maneuvering networked airborne sensors with both time and motion constraints to benefit sensing. Decentralized maneuver design is shown to enhance the network tolerance to loss of sensors, in addition to reducing the complexity in computation and communications. Sensing accuracy and speed are achieved by a high-level aggregation of the sensor outputs and a time-coordinated...
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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