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Based on above location characteristics, we present three location algorithms including Cross Location Algorithm (CLA), Stochastic Location Algorithm (SLA) and Particle Swarm Optimization (PSO) location algorithm in frequency domain and achieved the task of the underwater positioning system.
A new generic observation model is derived that is generated by scan correlation, and this permits stochastic location estimation for landmarks with arbitrary shape within the Kalman filter framework.
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This is a mixed-integer linear program and an extension of the classical two-stage stochastic location-transportation model.
Contreras et al. (2011) present three stochastic hub location models.
The distribution analysis of fibre locations is first introduced into this topic, and has been experimentally validated, resulting in a Gaussian distribution based random method to simulate the stochastic fibre locations within composites.
Interference correlation in scenarios with stochastic node locations (conf. Section 3.1) is scrutinized in [52, 53].
Compared to our previous work, the improved stochastic model for location estimation is formulated in a discretized graph-based representation of the indoor environment.
The model and discretization are applied to both the deterministic and the stochastic continuous restricted location problem, where the latter is converted into a deterministic equivalent problem by minimizing the expected value of the objective function weighted by the probabilities of scenarios.
They presented a two-stage stochastic programing for location and distribution of emergency commodities under uncertain demand.
This paper draws on the stochastic multi-period location-transportation problem (SMLTP) for studying the impact of various types of operations anticipations on the quality of the SCN designs obtained.
Based on stochastic geometry, the locations of the BSs in each tier are modeled as a two-dimensional homogeneous Poisson Point Process (HPPP) [21 23], which have been proved to be as accurate as the hexagonal grid model.
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