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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 8 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
ANTSW
2010
Springer
13 years 5 months ago
A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach
Abstract. In this paper, a Cooperative Network Game (CNG) is introduced. In this game, all players have the same goal: display a video content in real time, with no cuts and low bu...
Pablo Romero, Franco Robledo, Pablo Rodrígu...
KES
2007
Springer
14 years 1 months ago
Multiple Ant Colony Optimization for a Rich Vehicle Routing Problem: A Case Study
Rich vehicle routing problems try to represent situations that can be found in reality. Starting from a case study, in this paper a rich vehicle routing problem is analyzed. The e...
Paola Pellegrini, Daniela Favaretto, Elena Moretti
COMPSAC
2004
IEEE
13 years 11 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...