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An interval-parameter multiobjective programming model for waterresources management with an interactive algorithm

机译:具有交互式算法的水路管理间隔参数多目标编程模型

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Water shortage emerges and restricts the urban construction and the socio-economy development due to the rapid expansion of the cities throughout the world. A practical water resources system has complexities among social-economy, natural resources, and environment, which leads to multi-objective and significant uncertainties exist in system parameters, objectives, and their interactions. A number of optimization methods have been proposed for supporting system planning under uncertainty and multi-objective. As an extension of the previous efforts, an interval-parameter multi-objective programming model will be developed and an interactive compromising solving algorithm will be introduced. Through interactive compromising conflicts among multi-objectives, a feasible solution can be obtained. The developed model has been applied to allocate multi-source water with different water qualities to multi-users with different water quality requirements for the Dalian City in China, where water resources shortage is a challenging issue. The results indicate that the allocation of multi-source water for multi-user is more reasonable and efficiency.
机译:由于全世界城市的快速扩张,水资源短缺出现并限制了城市建设和社会经济发展。实际的水资源系统在社会经济,自然资源和环境中具有复杂性,这导致了系统参数,目标及其互动中存在的多目标和重大的不确定性。已经提出了许多优化方法,用于支持不确定性和多目标的系统规划。作为以前的努力的扩展,将开发间隔参数多目标编程模型,并介绍一个交互式损害求解算法。通过多目标之间的交互式妥协冲突,可以获得可行的解决方案。开发的模型已被应用于将多源水分配给不同的水质,以不同的水资源为中国大连市的不同水质要求,水资源短缺是一个具有挑战性的问题。结果表明,多源水的分配更合理和效率。

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