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» Inapproximability of Combinatorial Optimization Problems
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SAGA
2005
Springer
14 years 4 months ago
Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization
Two general-purpose metaheuristic algorithms for solving multiobjective stochastic combinatorial optimization problems are introduced: SP-ACO (based on the Ant Colony Optimization ...
Walter J. Gutjahr
HICSS
2005
IEEE
134views Biometrics» more  HICSS 2005»
14 years 4 months ago
A Non-Exact Approach and Experiment Studies on the Combinatorial Auction Problem
In this paper we formulate a combinatorial auction brokering problem as a set packing problem and apply a simulated annealing heuristic with hybrid local moves to solve the proble...
Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu
GEOINFORMATICA
2002
92views more  GEOINFORMATICA 2002»
13 years 10 months ago
Using Genetic Algorithms for Solving Hard Problems in GIS
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to
Steven van Dijk, Dirk Thierens, Mark de Berg
ESA
2009
Springer
92views Algorithms» more  ESA 2009»
14 years 5 months ago
Minimizing Movement: Fixed-Parameter Tractability
Abstract. We study an extensive class of movement minimization problems which arise from many practical scenarios but so far have little theoretical study. In general, these proble...
Erik D. Demaine, MohammadTaghi Hajiaghayi, D&aacut...
INFOCOM
2010
IEEE
13 years 9 months ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...