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Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic algorithm into optimization model...
In course of service marketing management, the decision-maker has to face various resource allocation problems concerning managerial elements. He/she should do his/her utmost to optimize the resource input and achieve an optimal marketing effect. This paper applies interactive genetic algorithms to set up a model for the dual optimization of service marketing and customer churn management, and have...
The authors researches the grey multi-attribute problem, in which the attribute weights and the attribute values are interval numbers, and states the decision-making method based on two-phase optimization. Firstly, a linear objective programming model is established by considering in local, and ideal attribute weight of each alternative is obtained by solving the model. Secondly, a quadratic programming...
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