Travelling Salesman Problem Constraint Representation

Posted by alex25 on Stack Overflow See other posts from Stack Overflow or by alex25
Published on 2010-04-14T07:22:21Z Indexed on 2010/05/13 15:14 UTC
Read the original article Hit count: 244

Filed under:

traveling-salesman

|

genetic-algorithms

|

algorithm-design

Hey!

I read a couple of articles and sample code about how to solve TSP with Genetic Algorithms and Ant Colony Optimization etc. But everything I found didn't include time (window) constraints, eg. "I have to be at customer x before 12am)" and assumed symmetry.

Can somebody point me into the direction of some sample code or articles that explain how I can add constraints to TSP and how I can represent those in code.

Thanks!

© Stack Overflow or respective owner

Related posts about traveling-salesman

A detail question when applying genetic algorithm to traveling salesman

as seen on Stack Overflow - Search for 'Stack Overflow'
I read various stuff on this and understand the principle and concepts involved, however, none of paper mentions the details of how to calculate the fitness of a chromosome (which represents a route) involving adjacent cities (in the chromosome) that are not directly connected by an edge (in the graph)… >>> More
Traveling Salesman in polynomial time

as seen on Stack Overflow - Search for 'Stack Overflow'
Problem Description: Write a program in any language with the shortest number of characters that solves the following problem: Given a collection of cities and the cost of travel between each pair of them, find the cheapest way of visiting all of the cities and returning to your starting point.… >>> More
Using Traveling Salesman Solver to Decide Hamiltonian Path

as seen on Stack Overflow - Search for 'Stack Overflow'
This is for a project where I'm asked to implement a heuristic for the traveling salesman optimization problem and also the Hamiltonian path or cycle decision problem. I don't need help with the implementation itself, but have a question on the direction I'm going in. I already have a TSP heuristic… >>> More
Traveling Salesman - Nearest Neighbor vs Genetic DEATHMATCH

as seen on Stack Overflow - Search for 'Stack Overflow'
Over the last few days I have noted a few web sites that demonstrated TS solution using genetic algorithms. I am looking for your opinion which is better for this particular problem. Heuristics vs Genetic. By better, I mean will yield a shorter/lower cost path. Explain why you feel the way that… >>> More
Suggested GA operators for a TSP problem?

as seen on Stack Overflow - Search for 'Stack Overflow'
I'm building a genetic algorithm to tackle the traveling salesman problem. Unfortunately, I hit peaks that can sustain for over a thousand generations before mutating out of them and getting better results. What crossover and mutation operators generally do well in this case? >>> More

Related posts about genetic-algorithms

Genetic algorithms with large chromosomes

as seen on Programmers - Search for 'Programmers'
I'm trying to solve the graph partitioning problem on large graphs (between a billion and trillion elements) using GA. The problem is that even one chromosome will take several gigs of memory. Are there any general compression techniques for chromosome encoding? Or should I look into distributed… >>> More
Genetic algorithms in C#?

as seen on Stack Overflow - Search for 'Stack Overflow'
How can I write genetic algorithms in C#? Are there libraries available? Like C++: http://lancet.mit.edu/ga/ >>> More
Genetic algorithms

as seen on Stack Overflow - Search for 'Stack Overflow'
I'm trying to implement a genetic algorithm that will calculate the minimum of the Rastrigin functon and I'm having some issues. I need to represent the chromosome as a binary string and as the Rastrigin's function takes a list of numbers as a parameter, how can decode the chromosome to a list of… >>> More
Roulette Selection in Genetic Algorithms

as seen on Stack Overflow - Search for 'Stack Overflow'
Can anyone provide some pseudo code for a roulette selection function? How would I implement this: I don't really understand how to read this math notation. I never took any probability or statistics. >>> More
Genetic Algorithms applied to Curve Fitting

as seen on Stack Overflow - Search for 'Stack Overflow'
Let's imagine I have an unknown function that I want to approximate via Genetic Algorithms. For this case, I'll assume it is y = 2x. I'd have a DNA composed of 5 elements, one y for each x, from x = 0 to x = 4, in which, after a lot of trials and computation and I'd arrive near something of the form: best_adn… >>> More