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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 9 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
WSC
2004
13 years 9 months ago
Exploiting Temporal Uncertainty in Process-Oriented Distributed Simulations
Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The a...
Margaret L. Loper, Richard M. Fujimoto
ATAL
2010
Springer
13 years 8 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
12 years 11 months ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin
VLDB
1998
ACM
120views Database» more  VLDB 1998»
14 years 2 days ago
KODA - The Architecture And Interface of a Data Model Independent Kernel
In this paper we describe the architecture and interface of KODA, a production strength database kernel. KODA is unique in the industry in its ability to support two different dat...
Gopalan Arun, Ashok Joshi