Evenly spaces the Cities on the perimeter of a wheel and returns a vector of their coordinates 利用AI技術生成一個圓
標簽： coordinates perimeter the returns
上傳時間： 2016-11-19
上傳用戶：dyctj
Designing Guidable Bus Transit Database for Chinese Cities
標簽： Designing Database Guidable Chinese
上傳時間： 2017-04-23
上傳用戶：佳期如夢
a tsp problem for solving tsp with random Cities
標簽： tsp problem solving Cities
上傳時間： 2013-12-29
上傳用戶：gououo
The world population is continuously growing and reached a significant evolution of the society, where the number of people living in Cities surpassed the number of people in rural areas.
標簽： Building Future Cities Smart
上傳時間： 2020-05-23
上傳用戶：shancjb
The status quo of digital Cities is analysed in detail, using six different perspectives: 1. Social interaction 2. Safety 3. Data management and analytics 4. Mobility 5. Consumer Lifestyle 6. Crowd-based services
標簽： Digital Cities White Paper
上傳時間： 2020-05-23
上傳用戶：shancjb
The concept of smart Cities emerged few years ago as a new vision for urban development that aims to integrate multiple information and communication technology (ICT) solutions in a secure fashion to manage a city’s assets. Modern ICT infrastructure and e-services should fuel sustainable growth and quality of life, enabled by a wise and participative management of natural resources to be ensured by citizens and government. The need to build smart Cities became a requirement that relies on urban development that should take charge of the new infrastructures for smart Cities (broadband infrastructures, wireless sensor networks, Internet-based networked applications, open data and open platforms) and provide various smart services and enablers in various domains including healthcare, energy, education, environmental management, transportation, mobility and public safety.
上傳時間： 2020-05-25
上傳用戶：shancjb
We review the current applications of photonic technologies to Smart Cities. Inspired by the future needs of Smart Cities, we then propose potential applications of advanced photonic technologies. We find that photonics already has a major impact on Smart Cities, in terms of smart lighting, sensing, and communication technologies. We further find that advanced photonic technologies could lead to vastly improved infrastructure, such as smart water‐supply systems. We conclude by proposing directions for future research that will have the greatest impact on realizing Smart City initiatives.
上傳時間： 2020-05-26
上傳用戶：shancjb
物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location Vehicle routing: VRP, VRP with time windows, traveling salesman problem (TSP) Networks: Shortest path, min cost network flow, minimum spanning tree problems Geocoding: U.S. city or ZIP code to longitude and latitude, longitude and latitude to nearest city, Mercator projection plotting Layout: Steepest descent pairwise interchange (SDPI) heuristic for QAP Material handling: Equipment selection General purpose: Linear programming using the revised simplex method, mixed-integer linear programming (MILP) branch and bound procedure Data: U.S. Cities with populations of at least 10,000, U.S. highway network (Oak Ridge National Highway Network), U.S. 3- and 5-digit ZIP codes
標簽： location location-allocation Continuous alternate
上傳時間： 2015-05-17
上傳用戶：kikye
A program to demonstrate the optimization process of ant colony optimization for the traveling saleman problem (TSP). The Cities are shown as red circles, the pheromone on the connections between them (fully connected graph) by gray lines. The darker the grey, the more pheromone is currently on the edge. During the optimization, the currently best found tour is drawn in red. To run the optimization, first create a random TSP, then create an ant colony, and finally run the optimization.
標簽： optimization demonstrate the traveling
上傳時間： 2015-07-12
上傳用戶：偷心的海盜
Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of Cities to visit and their distances from all other Cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of Cities but becomes complicated as the number increases.
標簽： interesting Traveling classical Salesman
上傳時間： 2016-02-06
上傳用戶：rocwangdp
