代做Statistics统计、JSP代写、代做数据结构语言程序、数据结构代做

Recovery Operations Inc. is a private contracting company that specializes in logistics solutions in disaster situations such as after earthquakes and floods, or after nuclear disasters or in active war zones. In order to maintain their position as one of the most reputable companies in this domain they are expanding capabilities to include unmanned aerial drones, in conjunction with their existing fleet of terrain vehicles. Drones have the ability to access areas that terrain vehicles find time/cost prohibitive, too dangerous or impossible to access. Additionally, drones can takeoff and land from either the home warehouse or from a stationary vehicle in the field. Your group is tasked to determine an effective solution to best utilize drones. When the company submits a bid for a new contract they must provide an estimate of total cost, time and other resources to the government or private institution. While some overhead cost is typically expected, a large under-estimate in cost is likely to have an adverse impact on the likelihood of being successful on future contracts. Due to complexities of real world situations it is desirable to have an accurate procedure for estimating final costs, in particular to determine the total operating cost of the drones and terrain vehicles. Your estimates should include variances that reflect real world operating conditions (e.g., probability of break down, weather, etc.). You will NOT be given a list of what type of vehicle is to deliver each item, this is a part of the problem to be solved. Your group is also tasked to create a web-based interface that allows, for any contract, the tracking of drones, vehicles and vehicle operators; the cargo (type, weight, priority, etc.) being shipped; location and delivery results/attempts/etc., and any other relevant information. This interface must 代做Statistics统计、JSP实验作业代写留学生、代做数据结构语言程序、数据结构实验作业代做 allow users to upload a map on the morning of each day, along with a text file containing the number and capacity of available vehicles/drones, coordinates of warehouse(s), target areas and their cargo request and priority level (i.e., if the area requires water or first aid kits to be delivered). Of course, high priority items should be delivered as quickly as possible and it may be that multiple cargo shipments are to be delivered to an area, and each shipment may have different priority levels. Given that the company will have only V vehicles and D drones, your goal is to deliver as many of the cargo items as possible while minimizing the total cost to do so. Items with higher priority must be delivered as early as possible on the same day as they are requested. The problem can be thought of through the following tasks (not in any particular order): Heuristic: Your group will create a heuristic algorithm for finding the best set of delivery paths that it can by scheduling each vehicle and drone. From this solution you will be able to estimate the total cost of delivering the ordered goods on a given day. In order to evaluate the quality of your approach it will be necessary to create several test cases to best reflect different potential situations that could occur (number of drones and vehicles, drop off locations, costs, etc.). There will be an infinite set of possible scenarios, your group should be focused on finding a good set of cases that expose your algorithm strengths/weaknesses. Interface: Create a user-friendly interactive web-based experience so that users have the ability to easily visualize and interact with relevant data. The interface must also allow for a map and problem-specific data to be uploaded, then provide your solution to the scheduling problem, with associated costs/etc. & 转自：http://ass.3daixie.com/2018053031706948.html