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ICML
1995
IEEE
16 years 14 days 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
133
Voted
COCOA
2008
Springer
15 years 1 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
14 years 11 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 ...
117
Voted
ENDM
2010
136views more  ENDM 2010»
14 years 11 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»
15 years 5 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,...