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ICTAI
2009
IEEE
13 years 5 months ago
Stochastic Offline Programming
We propose a framework which we call stochastic offline programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment whi...
Yuri Malitsky, Meinolf Sellmann
HIS
2009
13 years 5 months ago
Scheduling Meta-Tasks in Distributed Heterogeneous Computing Systems: A Meta-Heuristic Particle Swarm Optimization Approach
Scheduling is a key problem in distributed heterogeneous computing systems in order to benefit from the large computing capacity of such systems and is an NP-complete problem. In ...
Hesam Izakian, Ajith Abraham, Václav Sn&aac...
IJMC
2006
84views more  IJMC 2006»
13 years 7 months ago
Using a genetic algorithm approach to solve the dynamic channel-assignment problem
: The Channel Assignment Problem is an NP-complete problem to assign a minimum number of channels under certain constraints to requested calls in a cellular radio system. Examples ...
Xiannong Fu, Anu G. Bourgeois, Pingzhi Fan, Yi Pan
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
13 years 11 months ago
An effective genetic algorithm for the minimum-label spanning tree problem
Given a connected, undirected graph G with labeled edges, the minimum-label spanning tree problem seeks a spanning tree on G to whose edges are attached the smallest possible numb...
Jeremiah Nummela, Bryant A. Julstrom
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
14 years 1 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...