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solving Travelling Salesman Problem using java

The Travelling Salesman Problem (TSP) asks the following question: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard Problem in combinatorial optimization...
  Java Development        Java     

Travelling Salesman Problem using genetic algorithm

Travelling Salesman Problem is the project that find the minimum distance of all. i assume the data of city 927 cities to this project. and i need to use the genetic algorithm,GA and solve this program using Matlab...
  Matlab        Matlab     

Ant Colony Optimization(ACO) for Travelling Salesman Problem (TSP)

This code uses ACO method to solve TSP. Welcome to download and try. Thank you for your support....
  Algorithm        Matlab     

Traveling Salesman Problem classical solution

The traveling Salesman Problem ( Traveling Salesman Problem,TSP ) Is a traveling Salesman to travel to several cities, costs between the various cities are known, in order to save costs, traveling Salesman decides to proceed from the city, travel to each city once and returning the original city,...
  Algorithm        C++     

ant colony system for traveling Salesman Problem

how create m-file about ant colony system algorithm for Travelling Salesman Problem? i use asymetric traveling Salesman Problem. after that i must create GUI....
  Matlab        Matlab     

TSP Problem based on ACO by matlab

function [Shortest_Route,Shortest_Length]=ACATSP(D,NC_max,m,Alpha,Beta,Rho,Q) %%========================================================================= %% ACATSP.m %% Ant Colony Algorithm for Traveling Salesman Problem %% ChengAihua,PLA Information Engineering Universit...
  Algorithm        Matlab     

A-star algorithm for traveling Salesman Problem

A-star algorithm for traveling Salesman Problem For a node in a State space diagram, if its successor nodes are found, then this node is Extension node But have not yet found the successor node called No extension node 。 Unexpanded node kept in an OPEN table, extended node will be kept in a CLOSED...
  Algorithm        C++     

ConsumerandproducerProblem

Producer consumer Problem mutex deadlock exists competition issues three thread-Consumer producer Problem competition Problems mutex deadlock three threads...
  Algorithm        C     

the Capacitated Vehicle Routing Problem

The CVRP is a hard combinatorial optimisation Problem. The scenario is that a set of depots contains goods to be delivered to customers by a fleet of trucks. Each customer wants a certain integer amount of goods called their demand and each truck can only carry a certain amount called its capacit...
  Algorithm        Matlab     

The traveling Salesman Problem

TSP: TSP: national capital of two-dimensional coordinates, as shown in Figure 30, based on genetic algorithm design from Heilongjiang to Tibet, and walk through all the capital (capital of each one) the shortest path...
  Matlab        Matlab     

Simulated annealing algorithm for solving TSP Problems Java source code

Realization of simulated annealing algorithm in the source of four operators, and respectively insert, swaps, reversing, and mixed to create a new structure in the field, took probability first, nearest the greedy strategy, and can be applied to symmetric and asymmetric TSP Problem code is of high q...
  Algorithm        Java     

traveling Salesman with ant colony

This program contains the resolution of traveling Salesman Problem using the colony of ants...
  Algorithm        C++     

Designing and solving open vehicle routing Problem with multiple depots by efficient meta-heuristic algorithms

“Transportation Management” is one of the hot major in different scientific areas such as Operations Research, Industrial Engineering, Civil Engineering, Healthcare Management and etc. The main objective is “minimizing the total transportation cost” among supplier to the client in the...
  Driver Development        Matlab     

Ant colony optimization to solve knapsack Problems

ACO algorithm for solving MKPs. This algorithm is based on Ant Colony Optimization (ACO)  a stochastic metaheuristic that has been applied to solve many combinatorial optimization Problems such as traveling Salesman Problems [3], quadratic assignment Problems [6], or vehicule routing Problem...
  Algorithm        C++     

8 queens Problem solve with python

8 queens Problem in python The eight queens puzzle is the Problem of placing eight chess queens on an 8×8 chessboard so that no two queens threaten each other. Thus, a solution requires that no two queens share the same row, column, or diagonal. The eight queens...
  Algorithm        Python     

SFLA used to solve knapsack Problem

     SFLA for matlab The Shuffled Frog Leap Algprithm is a meta heuristic algorithm used for solving optimization Problems. this algorithm is used for optimization Problems and has proven to be more efficient than the GA and PSO algorithm In this...
  Matlab        Matlab     

N-body Problem simulation

It's simple program written in python which is simulation of Problem of three bodies under influence of their  gravitational fields.  Program can be easy extended to N body Problem just by creating few more objects of class "body"....
  Linux programming        Python     

N-body Problem python simulation

It's simple program written in python which is simulation of Problem of three bodies under influence of their  gravitational fields.  Program can be easy extended to N body Problem just by creating few more objects of class "body"....
  Linux programming        Python     

N_queen Problem using genetic algorithm

This is a simple code for N-queen Problem.and it is useful for people that they are new in matlab , I believe that is very helpful for beginners....
  Algorithm        Matlab     

Genetic algorithm for solving TSP Problems

In 31 cities, with genetic algorithm for solving TSP Problems, gives the source program. You can run! Genetic algorithm is to mimic biological evolution and natural selection mechanisms, simulation of bio-genetic and evolutionary processes in the environment to form an adaptive search algorithm...
  Algorithm        C     

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