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ICICIC
2006
IEEE
13 years 11 months ago
An Ant Colony Optimization Algorithm for Multiple Travelling Salesman Problem
Multiple travelling salesman problem (MTSP) is a typical computationally complex combinatorial optimization problem,which is an extension of the famous travelling salesman problem...
Pan Junjie, Wang Dingwei
SWARM
2012
SPRINGER
329views Optimization» more  SWARM 2012»
12 years 25 days ago
A critical analysis of parameter adaptation in ant colony optimization
Applying parameter adaptation means operating on parameters of an algorithm while it is tackling an instance. For ant colony optimization, several parameter adaptation methods have...
Paola Pellegrini, Thomas Stützle, Mauro Birat...
AEI
2004
150views more  AEI 2004»
13 years 5 months ago
Ant colony optimization techniques for the vehicle routing problem
This research applies the meta-heuristic method of ant colony optimization (ACO) to an established set of vehicle routing problems (VRP). The procedure simulates the decision-maki...
John E. Bell, Patrick R. McMullen
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
13 years 9 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
ICML
1995
IEEE
14 years 6 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