use this sample "One of the main problems with using electric vehicles is the lack of sufficient charging infrastructure in urban areas. Another problem with electric vehicles are the high purchase price. In addition, the spread of coronavirus and consequently the possibility of epidemics in the coming years can lead to a sharp increase in the use of vehicles in municipal services, including waste collection and road cleaning. This paper proposed a mathematical optimization model for locating charging stations with different technologies and vehicle arc routing for waste collection. However, implementing the model proposed in this paper is challenging due to (1) the lack of comprehensive technical knowledge in some countries to provide charging infrastructure, (2) limited electric vehicle companies, and (3) energy supply problems. Some knowledge-based companies and start-ups have succeeded in designing and making charging devices for electric vehicles, reducing the required time to charge vehicles. Nevertheless, the lack of financial resources for research and development is one of the main problems in these companies and start-ups, which can be solved through government subsidies. In addition, allocating government budgets to leading start-ups and companies with electric vehicle production can create a competitive environment, increase competition, and reduce prices. As the cost of electric vehicles decreases, more people can purchase them, so the demand for charging services will increase. The charging infrastructure development can also increase the demand for electricity generation, which ultimately leads to an increase in the production capacity of power plants that often use fossil fuels expanding the use of electric vehicles results in producing more bio-pollutants by power plants. One of the best ways to solve this " and write a managerial insight on "Routing optimization of electric vehicle in municipal solid waste management

write a managerial insight on "routing optimization of an electric vehicle in municipal solid waste management using Genetic algorithm, with 3 Evs, 2 charging stations, a depot and 15 waste collection point.

explain it in respect of the questions I have been asking you on routing optimization of an electric vehicle in municipal solid waste management using Genetic algorithm

Impact of stochastic driving range on the optimal charging infrastructure expansion planningAuthor links open overlay panelSreten Davidov, Miloš Pantoš

Electric vehicle charging An electric vehicle (EV) charging station provides charging facilities with different charging rates and costs to the electric vehicles. The charging stations can also be associated with other facilities like cafés and restaurants. Your team is going to be helping to create the technical infrastructure for the charging stations, electric vehicles, and electric vehicle users. As part of this, you will be creating a MySQL database to store this information. The following specifications have been provided to you to assist in your design.Charging stationFor each charging station, the system records its details, that are – the address of the charging station (as street name, street number, suburb, state, postcode), establishment date, the opening hour, and the closing hour (assume that the opening and closing hours are the same for each day of the week for a charging station). Each charging station is also associated with at least one ‘company’ that owns that charging station. A charging station can be jointly owned by multiple companies. Only the companies that manufacture electric vehicles can own charging stations (see ‘Electric vehicle’ section below for details of EV manufacturing company). Not all companies that manufacture EVs own charging stations.Each charging station has at least one charging ‘outlet’ where electric vehicles can plug-in for charging. An outlet of a charging station can be uniquely identified with the charging station’s ID and the outlet’s ID, as ‘charging station ID X, outlet ID Y’. Each outlet has a charging rate in kW (e.g., 72 or 96). There are two types of charging costs associated with each outlet – peak-hour charging cost and off-peak hour charging cost (e.g., peak-hour charging cost 25 cents/kWh and off-peak charging cost 20 cents/kWh). Different outlets of the same charging station can have different peak and off-peak charging costs, but one charging outlet has only one peak-hour charging cost and one off-peak hour charging cost. For each outlet, the system also records whether the outlet is currently occupied or not occupied. The system also stores information about ‘facilities’, if they are associated with any charging station. For each facility, the system stores the type of the facility (e.g., café or restaurant), the opening hour, and the closing hour (assume that the opening and closing hours are the same for each day of the week for a facility, however those hours could be different from the opening/closing hours of a charging station associated with it). A facility can be at most associated with one charging station, while the charging station does not need to be connected to any facility (e.g. a charging station on a very long road in regional Australia) but is connected to at most one facility. A facility can provide discount coupons, which can be used for discounted rates of a ‘charging event’ (see ‘Charging event’ section below for details). For each coupon, the system stores some values of the coupon, which are –the coupon ID, discount value, and expiry date. A coupon can only be issued by one facility and used in at most one charging event.Please show me the entities, relationships and attributes in this paragraph based on how the database is analyzed

an electric vehicle in municipal solid waste using genetic algorithm