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EMO
2006
Springer
110views Optimization» more  EMO 2006»
15 years 10 months ago
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
Recent works in evolutionary multiobjective optimization suggest to shift the focus from solely evaluating optimization success in the objective space to also taking the decision s...
Günter Rudolph, Boris Naujoks, Mike Preuss
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 10 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
VLDB
2000
ACM
248views Database» more  VLDB 2000»
15 years 10 months ago
Multi-Dimensional Database Allocation for Parallel Data Warehouses
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especially for data warehousing environments where huge amounts of data and complex an...
Thomas Stöhr, Holger Märtens, Erhard Rah...
AAAI
2008
15 years 9 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
AIPS
2008
15 years 9 months ago
Criticality Metrics for Distributed Plan and Schedule Management
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
Rajiv T. Maheswaran, Pedro A. Szekely