In today's competitive economic environment, companies have to make strategic and operational decisions in order to optimize logistical processes. One of the most important operational decisions is related to the design of vehicle routes for reducing costs and improving the quality of services provided The justify; MARGIN: 0cm 0cm 0pt; unicode-bidi: embed; DIRECTION: ltr" The use of petroleum products causes the greenhouse gas effect, thus reducing the use of these products can make a major contribution to reducing pollutions. In recent years, many efforts have been made to reduce greenhouse gas emissions by vehicles. In a logistic system, decisions such as locating warehouses and collection centers, allocation of vehicles to the routes are taken simultaneously. In fact, LRP tries to find the optimal number of facilities and their locations and the routes to be used by vehicles. In this research, the green location routing vehicles problem is studied. Of course, location routing problem and green routing problem are investigated in previous studies. But the subject of location - green routing is not discussed in the literature and thus this research can be helpful for the researchers. Then to study the problem, a mathematical model of it is presented in order to minimize total cost. Since the problem is an NP-HARD problem, dragon fly algorithm and genetic algorithm were used to solve some large scale problems. With respect to the results, the dragon fly is better than the genetic algorithm.
