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LION
2009
Springer
210views Optimization» more  LION 2009»
14 years 8 days ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...
ANTSW
2004
Springer
13 years 11 months ago
S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Walter J. Gutjahr
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,...
EOR
2006
118views more  EOR 2006»
13 years 5 months ago
A random-key genetic algorithm for the generalized traveling salesman problem
The Generalized Traveling Salesman Problem is a variation of the well known Traveling Salesman Problem in which the set of nodes is divided into clusters; the objective is to find...
Lawrence V. Snyder, Mark S. Daskin
4OR
2004
99views more  4OR 2004»
13 years 5 months ago
Upper bounds for revenue maximization in a satellite scheduling problem
This paper presents upper bounds for the Satellite Revenue Selection and Scheduling problem (SRSS). A compact model of this generalized Prize Collecting Traveling Salesman Problem ...
Thierry Benoist, Benoît Rottembourg