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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 10 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
EGC
2005
Springer
15 years 11 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
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...
CP
2008
Springer
15 years 8 months ago
Cost-Based Domain Filtering for Stochastic Constraint Programming
Abstract. Cost-based filtering is a novel approach that combines techniques from Operations Research and Constraint Programming to filter from decision variable domains values that...
Roberto Rossi, Armagan Tarim, Brahim Hnich, Steven...
ICC
2007
IEEE
16 years 19 days ago
Optimizing Linear Dispersion Codes for Wideband MIMO Systems
Abstract— We consider the problem of designing space-timefrequency linear dispersion (LD) codes in wideband multipleinput multiple-output (MIMO) antenna systems employing orthogo...
Luca Venturino, Narayan Prasad, Xiaodong Wang, Moh...