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SODA
1992
ACM
252views Algorithms» more  SODA 1992»
13 years 6 months ago
A General Approximation Technique for Constrained Forest Problems
We present a general approximation technique for a large class of graph problems. Our technique mostly applies to problems of covering, at minimum cost, the vertices of a graph wit...
Michel X. Goemans, David P. Williamson
ICEC
1994
82views more  ICEC 1994»
13 years 6 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
ICEC
1996
123views more  ICEC 1996»
13 years 6 months ago
Solving Symmetric and Asymmetric TSPs by Ant Colonies
- In this paper we present ACS, a distributed algorithm for the solution of combinatorial optimization problems which was inspired by the observation of real colonies of ants. We a...
Luca Maria Gambardella, Marco Dorigo
WSC
1998
13 years 6 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
ACID
2006
264views Algorithms» more  ACID 2006»
13 years 6 months ago
A Parameterized View on Matroid Optimization Problems
Matroid theory gives us powerful techniques for understanding combinatorial optimization problems and for designing polynomial-time algorithms. However, several natural matroid pr...
Dániel Marx
AUSAI
2005
Springer
13 years 7 months ago
Understanding the Pheromone System Within Ant Colony Optimization
Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Stephen Gilmour, Mark Dras
WSC
2008
13 years 7 months ago
Randomized methods for solving the Winner Determination Problem in combinatorial auctions
Combinatorial auctions, where buyers can bid on bundles of items rather than bidding them sequentially, often lead to more economically efficient allocations of financial resource...
Joshua C. C. Chan, Dirk P. Kroese
PPSN
2000
Springer
13 years 8 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
CP
2006
Springer
13 years 8 months ago
Mini-bucket Elimination with Bucket Propagation
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
Emma Rollon, Javier Larrosa
CP
2000
Springer
13 years 9 months ago
Linear Formulation of Constraint Programming Models and Hybrid Solvers
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
Philippe Refalo