Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO
Shuang Che, Yan Chen, Longda Wang
Abstract
In this paper, the optimization issue of electric vehicle charging station layout (EVCSL) for tourist attractions is addressed, and an improved PSO is used to solve the optimization issue. Specifically, the improved particle swarm optimization (PSO) is proposed to obtain an appreciative planning solution of EVCSL, and dynamic weight adjustment strategy and integration into the two-population genetic mode are proposed to improve the optimization quality for PSO. Simulation results show that the proposed improvement strategies can increase the optimization quality for PSO effectively so that a more appreciative planning solution of EVCSL can be obtained.
Topics & Concepts
Particle swarm optimizationPopulationGenetic algorithmMathematical optimizationElectric vehicleComputer scienceCharging stationMode (computer interface)Quality (philosophy)EngineeringMathematicsPower (physics)PhilosophyQuantum mechanicsOperating systemSociologyEpistemologyPhysicsDemographyAdvanced Manufacturing and Logistics OptimizationSmart Parking Systems ResearchElectric Vehicles and Infrastructure