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ICML
1995
IEEE
14 years 8 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
COCOA
2008
Springer
13 years 9 months ago
Algorithms and Experimental Study for the Traveling Salesman Problem of Second Order
We introduce a new combinatorial optimization problem, which is a generalization of the Traveling Salesman Problem (TSP) and which we call Traveling Salesman Problem of Second Orde...
Gerold Jäger, Paul Molitor
NCA
2008
IEEE
13 years 7 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
ENDM
2010
136views more  ENDM 2010»
13 years 7 months ago
Approximating the asymmetric profitable tour
Abstract We study the version of the asymmetric prize collecting traveling salesman problem, where the objective is to find a directed tour that visits a subset of vertices such th...
Viet Hung Nguyen, Thi Thu Thuy Nguyen
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
14 years 1 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...