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ICEIS
2009
IEEE
16 years 1 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
16 years 4 days ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz
EMO
2001
Springer
100views Optimization» more  EMO 2001»
15 years 11 months ago
Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design
Abstract. Topology design of enterprise networks is a hard combinatorial optimization problem. It has numerous constraints, several objectives, and a very noisy solution space. Bes...
Habib Youssef, Sadiq M. Sait, Salman A. Khan
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 8 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
IPCO
1992
100views Optimization» more  IPCO 1992»
15 years 8 months ago
An Exact Characterization of Greedy Structures
We present exact characterizations of structures on which the greedy algorithm produces optimal solutions. Our characterization, which we call matroid embeddings, complete the par...
Paul Helman, Bernard M. E. Moret, Henry D. Shapiro