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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
CAS
2008
68views more  CAS 2008»
13 years 5 months ago
Very Strongly Constrained Problems: an Ant Colony Optimization Approach
: Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standar...
Vittorio Maniezzo, Matteo Roffilli
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
13 years 10 months ago
Ant Colony Programming for Approximation Problems
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...
Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wiec...
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
ANTSW
2006
Springer
13 years 9 months ago
Parallel Ant Colony Optimization for the Traveling Salesman Problem
There are two reasons for parallelizing a metaheuristic if one is interested in performance: (i) given a fixed time to search, the aim is to increase the quality of the solutions f...
Max Manfrin, Mauro Birattari, Thomas Stützle,...