We mainly study the Max TSP with two objective functions. We propose an algorithm which returns a single Hamiltonian cycle with performance guarantee on both objectives. The algorithm is analyzed in three cases. When both (respectively, at least one) objective function(s) fulfill(s) the triangle inequality, the approximation ratio is View the MathML source512−ε≈0.41 (respectively, View the MathML source38−ε). When the triangle inequality is not assumed on any objective function, the algorithm is View the MathML source1+2214−ε≈0.27-approximate.nonouirechercheInternationa
We present approximation algorithms for almost all variants of the multi-criteria traveling salesman...
Though 2-approximation algorithms are available for several Multiple Depot Travelling Salesman Probl...
We study the problem of computing a Hamiltonian tour (cycle) or path on a set of points in order to ...
We propose an algorithm which returns a single Hamiltonian cycle with performance guarantee on both ...
This paper deals with the problem of constructing Hamiltonian paths of optimal weight, called HPPs,t...
This paper deals with the problem of constructing Hamiltonian paths of optimal weight, called HPP_s,...
This paper deals with the problem of constructing a Hamiltonian cycle of optimal weight, called TSP...
This paper deals with the problem of constructing a Hamiltonian cycle of optimal weight, called TSP....
AbstractIn this paper, we consider the maximum traveling salesman problem with γ-parameterized trian...
AbstractWe present the first 7/8-approximation algorithm for the maximum Traveling Salesman Problem ...
We investigate the problem of approximating the Pareto set of biobjective optimization problems with...
The Stacker-Crane Problem (SCP) consists of finding the minimum length hamiltonian cycle on a mixed ...
The traveling salesman problem (TSP) is one of the most fundamental optimization problems....
We present a classical approximation algorithm for the MAX-2-Local Hamiltonian problem. This is a ma...
We present approximation algorithms for almost all variants of the multi-criteria traveling salesman...
We present approximation algorithms for almost all variants of the multi-criteria traveling salesman...
Though 2-approximation algorithms are available for several Multiple Depot Travelling Salesman Probl...
We study the problem of computing a Hamiltonian tour (cycle) or path on a set of points in order to ...
We propose an algorithm which returns a single Hamiltonian cycle with performance guarantee on both ...
This paper deals with the problem of constructing Hamiltonian paths of optimal weight, called HPPs,t...
This paper deals with the problem of constructing Hamiltonian paths of optimal weight, called HPP_s,...
This paper deals with the problem of constructing a Hamiltonian cycle of optimal weight, called TSP...
This paper deals with the problem of constructing a Hamiltonian cycle of optimal weight, called TSP....
AbstractIn this paper, we consider the maximum traveling salesman problem with γ-parameterized trian...
AbstractWe present the first 7/8-approximation algorithm for the maximum Traveling Salesman Problem ...
We investigate the problem of approximating the Pareto set of biobjective optimization problems with...
The Stacker-Crane Problem (SCP) consists of finding the minimum length hamiltonian cycle on a mixed ...
The traveling salesman problem (TSP) is one of the most fundamental optimization problems....
We present a classical approximation algorithm for the MAX-2-Local Hamiltonian problem. This is a ma...
We present approximation algorithms for almost all variants of the multi-criteria traveling salesman...
We present approximation algorithms for almost all variants of the multi-criteria traveling salesman...
Though 2-approximation algorithms are available for several Multiple Depot Travelling Salesman Probl...
We study the problem of computing a Hamiltonian tour (cycle) or path on a set of points in order to ...