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Large-scale maximal coverage location problems (MCLP) are quite common in practices, but till now efficient solving methods for them are still quite limited. A new assignment algorithm was proposed in this paper to solve such large-scale MCLPs. In the proposed algorithm, the whole location space is first divided into small regions. Then a heuristic method based on marginal increment was designed to...
The paper develops an exchange model involving two individuals and two goods and shows it exhibits Li-Yorke chaos with k isin Delta =(3.0,3.6). The purpose of this paper is to provide another method to prove the model be not chaotic when k isin Delta =[1,1.25]; and exhibits topological chaos, distributional chaos, w-chaos, Devaney-chaos, Li-Yorke chaos and distributional chaos in a sequence with k...
Given its importance, facility location has long attracted many research efforts from both the academic and industrial areas. However, due to the cost and privacy issues, researchers usually suffer from the lack of business information which is crucial for the decision makings. Recent years have witnessed the explosion of geographical information systems (GISs), and the spatial information provided...
This work presents a novel procedure to detect and correct noise in a continuous dependent variable. The presence of noise in a dataset represents a significant challenge to data mining algorithms, as incorrect values in both the independent and dependent variables can severely corrupt the results of even robust learners. The problem of noise is especially severe when it is located in the dependent...
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