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Example of Python Solving the Traveling salesman problem (TSP) based on the backtracking subset tree template

This article mainly introduces the Python-based subset tree template to solve the traveling salesman problem (TSP), describes the traveling salesman problem briefly, and analyzes the relevant implementation steps and operation skills of Python using the backtracking subset tree template to solve the

Ultraviolet A 1347 (POJ 2677) Tour (dual-tuning Euclidean Traveling Salesman Problem)

Ultraviolet A 1347 (POJ 2677) Tour (dual-tuning Euclidean Traveling Salesman Problem) Tour Time Limit:3000 MSMemory Limit:0 KB64bit IO Format:% Lld % llu Description John Doe, a skilled pilot, enjoys traveling. while on vacation, he rents a small plane and starts visiting beautiful places. to save money, John must determine the shortest closed tour that connects

Traveling Salesman (TSP) and related question list

1. Traveling Salesman Problem (Traveling Salesman Problem, TSP) Literally, there is a salesman who wants to sell goods to N cities and find the shortest path of all N cities. The history of TSP is a long time. The earliest description is the knight Travel problem studied by

C language using backtracking method to solve the problem of traveling salesman and the problem of M coloring of graphs _c language

Travel salesman problem1. Question Description: The problem of traveling salesman is also called TSP. The problem is as follows: A salesman to a number of cities to sell goods, known to the distance between the city (or travel), he would like to select a departure from the station, through each city the final return t

[Introduction to algorithms] dual-tuning Euclidean Traveling Salesman Problem

First, celebrate your solution (understanding the legendary niubility traveling salesman problem) Second, we are about to see the famous greedy algorithm problem! I am very excited. Traveling Salesman Problem description: N points on the plane, determine the shortest closed journey connecting each point. This solution

Traveling salesman Circuit of 31 cities in China 15,404-kilometer

Traveling salesman Circuit of 31 cities in China 15,404-kilometerUsing the method of calculating the Hamiltonian circle of any connected graph, the Hamiltonian circle of 31 cities in China is counted out, and the path and the smallest four are put here, the last one should be the traveling salesman loop, hoping to get

Traveling salesman Circuit of 34 cities in China 15,199-kilometer

Traveling salesman Circuit of 34 cities in China 15,199-kilometerfind the latitude and longitude of China's 34 cities on the Internet, calculate the spherical distance between cities, make a near connected graph, use the touch hole backtracking method to calculate the shortest number of Hamiltonian rings, the shortest one is the traveling

Traveling salesman problem (TSP) Problem Solving report

Traveling Salesman Problem is a well-known problem. This time it was because of the algorithm class selected by Coursera and the code implementation was written. Here is a summary. Test procedure: 2520833.3333 17100.000020900.0000 17066.666721300.0000 13016.666721600.0000 14150.000021600.0000 14966.666721600.0000 16500.000022183.3333 13133.333322583.3333 14300.000022683.3333 12716.666723616.6667 15866.66672

Hdu 4824 Disk Schedule dual-tuning Euclidean Traveling Salesman Problem (dp)

remains unchanged. The head can only do one thing at the same time: Jump to the track, rotate or read. Now, you need to read a set of data on the disk. Assume that each track has at most one read request. The read sector is an integer sector distributed between 0 and 359 on the track, that is, a certain 360-level sub-point of the track. The starting point of the head is 0-track and 0-sector. No data is read at this time. After all the reads are completed, the head must return to the starting po

HDU3768 Shopping (State compression DP + spfa) Traveling Salesman Problem

HDU3768 Shopping (State compression DP + spfa) Traveling Salesman ProblemShoppingTime Limit: 10000/5000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)Total Submission (s): 577 Accepted Submission (s): 197Problem Description You have just moved into a new apartment and have a long list of items you need to buy. unfortunately, to buy this variable items requires going to parse different stores. yo

Traveling salesman problem based on branch-bound method (TSP)

Traveling salesman Problem ( English:travelling salesman problem, TSP) is a question: given the distance between a series of cities and each pair of cities, Solve the shortest loop that accesses each city once and returns to the starting city. It is a NP-hard problem in combinatorial optimization, which is very important in operational research and theoretical co

[ACM] poj 2677 Tour (Dynamic Planning, dual-tuning Euclidean Traveling Salesman Problem)

sample is in the table below. here there are two data sets. the first one contains 3 points specified by their X and Y coordinates. the second point, for example, has the X coordinate 2, and the Y coordinate 3. the result for each data set is the tour length, (6.47 for the first data set in the given example ). Sample Input 31 12 33 141 12 33 14 2 Sample output 6.477.89 SourceSoutheastern Europe 2005 Solution: Reproduced in: http://blog.sina.com.cn/s/blog_51cea4040100gkcq.html The Euclidean

The dynamic programming method of traveling salesman problem (TSP)

http://soj.sysu.edu.cn/show_problem.php?pid=1000cid=1769Sicily traveling salesman problemThere are n cities numbered 1 to N, asking for the shortest path length from city 1th, traversing all the cities and finally staying in the N city.InputFirst line integer t:t Group data (TEach case reads an n (2 Each case outputs a floating-point number representing the shortest path. Rounding retains two decimal places

Hdoj 3001 travelling [3 hexadecimal + traveling salesman]

Question: hdoj 3001 travelling Question: The standard traveling salesman adds a sentence, and each vertex can take up to two times. Analysis: The state transition equation is exactly the same, but it only requires a three-digit system, because each point has three states: 0, 1, 2. Define the State: DP [st] [I]: the minimum cost of the current I point when the State is St Transition equation: DP [now] [J]

Ultraviolet A 1347 (POJ 2677) Tour (dual-tuning Euclidean Traveling Salesman Problem)

Ultraviolet A 1347 (POJ 2677) Tour (dual-tuning Euclidean Traveling Salesman Problem) DescriptionJohn Doe, a skilled pilot, enjoys traveling. while on vacation, he rents a small plane and starts visiting beautiful places. to save money, John must determine the shortest closed tour that connects his destinations. each destination is represented by a poin

JavaScript implementation of ACS ant colony Algorithm for solving symmetric tsp traveling salesman problem

github.As a result of the recent internship, we have to finish the work at hand (a sneak is really busy,,,). So follow the idea: in different browsers of the algorithm to perform the average speed test, as well as the C and MATLAB for the same code of the mean execution time comparison, there is a linear neural network implementation of the spammer Judgment system JavaScript implementation, it is estimated that a period of time to be baked.Given my familiarity with many JavaScript built-in func

Traveling salesman problem based on branch-bound method (TSP) Two

As in the previous article, write the pseudo-code before the exam, fill in the specific explanation and code.Status {matrix, result set, Nether}Global result set list, with global upper bound initially infiniteSet up a heap, store state, and heap rules to have the smallest lower bound.Using the reduced cost matrix to simplify the matrix, simplify the reduction of consumption as the lower bound, adding the initial state to the heapWhen the heap is not empty{POPs a state from the heap and assigns

Poj 3311 HIE with the pie [traveling salesman + origin retrieval]

Title: poj 3311 HIE with the pie The question is: the batch worker will send the batch, and then give you the distance and direction of each point, and then let you go back to the source of the shortest. Analysis: Because the dense graph is provided, it is necessary to handle the shortest path, Floyd Then, the TSP is good. Enumerate each status. For each vertices in the current status that have passed, enumeration comes from that point, with the shortest path updated. Status: DP [st] [I]: the

Hdu5067 traveling salesman

Question: go through all the required points, with a minimum distance. When I = X, the Fst is down. #include Hdu5067 traveling salesman

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