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ICML
1995
IEEE
14 years 10 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
EVOW
2007
Springer
14 years 4 months ago
Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges
Abstract. The Traveling Salesman Problem (TSP) is a well-known NPhard combinatorial optimization problem, for which a large variety of evolutionary algorithms are known. However, t...
Thomas Fischer, Peter Merz
IJAIT
2002
81views more  IJAIT 2002»
13 years 9 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
HM
2007
Springer
114views Optimization» more  HM 2007»
14 years 1 months ago
Hybrid Numerical Optimization for Combinatorial Network Problems
Abstract. We discuss a general approach to hybridize traditional construction heuristics for combinatorial optimization problems with numerical based evolutionary algorithms. There...
Markus Chimani, Maria Kandyba, Mike Preuss
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
14 years 4 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl