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An elitist genetic algorithm was used to find Pareto-optimal solutions for land use allocation with multiple objectives and constraints from the concepts of sustainable development. Plans were judged with regard to economic development, the environment and the social equality. A multi-objective fitness function was used. The genetic algorithm offers the(More)
The classification of remote sensing images is more and more important along with the development of society and economy. According to the defects general classification methods have, such as the accuracy, the efficiency etc, the design of `robust' classification system based on a Gaussian RBF neural Network is used in this article to classify the TM/ETM+(More)
The optimal reinsurance and investment problem for insurance has attracted a lot of attention of researchers in the field of stochastic control for a long time. Along this line we discuss this problem in the case of jump diffusion markets when neither short-selling nor borrowing is allowed. Here, we specifically assume that the risk process of the insurance(More)
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