چکیده مقاله
This study addresses the Electric Vehicle Routing Problem EVRP with simultaneous delivery and pickup, integrating operational constraints, customer demands, vehicle capacity limits, and energy management considerations A comprehensive mathematical model is developed with the primary objective of minimizing the total traveled distance while enhancing the efficiency and sustainability of urban transportation systems The model incorporates key factors such as optimal charging station placement, time window constraints, and real time decision making for delivery and pickup operations To solve this complex problem, both exact optimization techniques using CPLEX and metaheuristic algorithms, including Genetic Algorithm GA , Particle Swarm Optimization PSO , and Bat Algorithm, are employed Comparative analysis reveals that the proposed metaheuristics significantly reduce computation time while producing high quality solutions close to the optimal values obtained from CPLEX Moreover, the algorithms demonstrate robust performance under varying traffic conditions and demand uncertainties
کلیدواژهها
نویسندگان
Roya Sohrabpour
Sirjan University of Technology
Seyed Mostafa Nosratabadi
Sirjan University of Technology
شیوه ارجاع
Sohrabpour, Roya and Nosratabadi, Seyed Mostafa,1404,Optimal Routing of Electric Vehicles with Simultaneous Delivery and Pickup Using Metaheuristic Methods,The 7th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
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مجموعه مقالات هفتمین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات21 مرداد 1404 · مشهد