الفهرس 
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Abstract
Green Logistics play an essential role in today’s accelerating need for efficient and environment-friendly transport and distribution system. Logistics are the heart of operation of present transportation systems and implies a degree organization and regulation over freight and people movements from and to their destinations. The Green Vehicle Routing Problem (G-VRP) is a recent type of problem that, besides its objectives‘ to minimize the distance travelled and the costs associated, also seeks to minimize the emissions released through employing nontraditional and alternative fuel resources such as bio-fuel, bio-alcohol (e.g. methanol or ethanol), chemically stored electricity, and fossil fuel as natural gas. The aim of this dissertation is to solve a class of G-VRP where vehicles could be run either by environment-friendly fuel or by a two types of fuel (natural gas and gasoline). As contribution; first; two mathematical models are introduced to provide the least amount of pollution released during routing vehicles using one or more types of fuel. The exact optimal solutions for both cases are reached by the aid of Matlab- CPLEX; second: developing a heuristic algorithm to handle large problem (larger number of customers) by applying Genetic Algorithm. By applying the models to a real case, the results show acceptable results to the company administration that select the routs with minimum distances and consequently the emission of CO