دانلود رایگان مقاله لاتین عملیات هواپیمایی استراتژیک از سایت الزویر


عنوان فارسی مقاله:

عملیات هواپیمایی استراتژیک با توجه به کربن محدود شده صنعت حمل و نقل هوایی


عنوان انگلیسی مقاله:

Strategic airline operation considering the carbon constrained air transport industry


سال انتشار : 2017



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4. Solution procedure 

The genetic algorithm is a well-known metaheuristic algorithm used to generate optimal or near-optimal solutions of the developed mathematical model as formulated by Holland (1975). This algorithm is applied in situations in which it is difficult to find an optimal solution with general mathematical techniques. In studies related to the air transport industry, the genetic algorithm is generally used to solve complex mathematical model formulations. Soolaki et al. (2012) proposed an integer linear programming approach and adopted a genetic algorithm to solve airline boarding problems, such as how to reduce passenger boarding times. In addition, Liu et al. (2011) introduced concepts and techniques from complex network theory and applied an effective, efficient genetic algorithm to optimize airline route networks. Moreover, Levine (1996) and Chen et al. (2013) dealt with airline crew scheduling problems in various situations by using a genetic algorithm. The overall procedure of the general genetic algorithm is depicted in Fig. 2. For this study, the flight route network should be designed as between I number of cities, and the quantity of carbon trading on the official trading market should be determined within available limitations with the proposed mathematical model formulation. To generate optimal or near-optimal solutions, we suggest an efficient genetic algorithm as a solution method and design a chromosome as shown in Fig. 3. Initially, we consider the I by I matrix plus one slot to represent the flight route design and the quantity of carbon trading, respectively. Then, the number of genes is I 2 þ 1. However, because we assume a flight route design with a round trip concept,



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