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Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agent's intent (e.g. goal) is unobservable to the others. In particular, finding time efficient paths often requires anticipating interaction with neighboring agents, the process of which can be computationally prohibitive. This work presents a decentralized multiagent...
Many robotic applications require repeated, on-demand motion planning in mapped environments. In addition, the presence of other dynamic agents, such as people, often induces frequent, dynamic changes in the environment. Having a potential function that encodes pairwise cost-to-go can be useful for improving the computational speed of finding feasible paths, and for guiding local searches around dynamic...
A Pareto-based multi-objective estimation of distribution algorithm with Gaussian copulas is proposed and applied to RFID network planning. The algorithm employs Pareto-based approach and multivariate Gaussian copulas to construct probability distribution model. By estimating Kendall's tau and using the relationship of Kendall's tau and correlation matrix, Gaussian copula parameters are firstly estimated,...
Shenyang and Fushun are two most nearest mega cities in China. Integration of the two cities as one sub-administrative economic region is a state and province policy to promote economy development of Liaoning province. How the urban patterns of the mega cities will grow is interested to city planners, decision-makers, land managers, ecologists, geographers, and resource managers because it's special...
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