جستجوی مقالات مرتبط با کلیدواژه « PROMETHEE method » در نشریات گروه « عمران »

Sustainable development considers the use of endogenous capabilities in urban areas, local groups and communities as social capitals that have an important role in maintaining and developing the metropolises. Local development in the form of a popular process has been emphasized as the focus of sustainable urban development programs and metropolitan areas. In this study, considering the indexes of sustainable districts development as one of the main concerns of developing communities, a model in relation to the district one of Karaj city is presented. The Promethee method, which is one of the multi-criteria decision-making methods used to select the optimal and preferred options. Critic method, which is very consistent with multi-criteria decisions, used to weigh the criteria. The questionnaires distributed among experts have 8 main criteria of participation, identity and vitality, social justice, satisfaction, safety and security, environment, urban landscape and developmental characteristics and include 34 sub-criteria and 5 options which was ‘Islamabad’, ‘Bahar’, ‘Azimiyeh’, ‘North Taleghani’ and ‘Baraghan’ district. The results of advantages and disadvantages analyses showed that ‘Azimiyeh’ has the best condition and then, ‘North Taleghani’, ‘Bahar’, ‘Baraghan’ and ‘Islamabad’ are in the next ranks, respectively. In addition, critical sub-criteria have been identified in each district. Finally some general and detailed suggestions and solutions have been proposed to promote districts. These results can be used as a model for the sustainable development of urban decay by relevant agencies, including ministries, municipalities and etc.

One of the key processes in the banking system, is cash distribution from Treasury Branches and ATMs in the city. Treasury location, fleet, routes, geographical distribution of branches and ATMs, the distribution of money demand, customer satisfaction, are some of the influential factors in optimizing the money transfer process. Furthermore, today’s environmental issues, especially the issue of greenhouse gas (GHG) emissions, have been concentrated. In this paper, a new model of the location-routing vehicles for a bank cash distribution network is developed, in which three objectives of reducing GHG emissions, reducing costs of location-routing, and increasing customer satisfaction are considered simultaneously. Regarding to the difficulty of finding optimal solutions in such integrated models of location-routing problems, a multi-objective genetic algorithm-based on Prometheus methods are proposed. The obtained results are compared with the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective imperialist algorithm (MOICA). The comparison of these results shows the performance of the proposed algorithm for the given problems.