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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Computing the epistasis variance of large-scale traveling salesman problems
The interaction among variables of an optimization problem is known as epistasis, and its degree is an important measure for the nonlinearity of the problem. We address the proble...
Dong-il Seo, Byung Ro Moon
SODA
2010
ACM
168views Algorithms» more  SODA 2010»
14 years 5 months ago
An O(log n/log log n)-approximation algorithm for the asymmetric traveling salesman problem
We consider the Asymmetric Traveling Salesman problem for costs satisfying the triangle inequality. We derive a randomized algorithm which delivers a solution within a factor O(lo...
Arash Asadpour, Michel X. Goemans, Aleksander Madr...
EUROCAST
2009
Springer
179views Hardware» more  EUROCAST 2009»
14 years 2 months ago
New Approximation-Based Local Search Algorithms for the Probabilistic Traveling Salesman Problem
In this paper we present new local search algorithms for the Probabilistic Traveling Salesman Problem (PTSP) using sampling and ad-hoc approximation. These algorithms improve both...
Dennis Weyland, Leonora Bianchi, Luca Maria Gambar...
IPCO
1992
115views Optimization» more  IPCO 1992»
13 years 9 months ago
When is the Assignment Bound Tight for the Asymmetric Traveling Salesman Problem?
We consider the probabilistic relationship between the value of a random asymmetric traveling salesman problem ATSP(M) and the value of its assignment relaxation AP(M). We assume ...
Alan M. Frieze, Richard M. Karp, Bruce A. Reed
ICNC
2009
Springer
14 years 2 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang