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LION
2009
Springer
210views Optimization» more  LION 2009»
14 years 2 months 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
14 years 27 days 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 11 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 7 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 7 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