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» An evolutionary method for complex-process optimization
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77
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GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 5 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
15 years 5 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera
PREMI
2005
Springer
15 years 6 months ago
Parallel Island Model for Attribute Reduction
Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
98
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BMCBI
2008
144views more  BMCBI 2008»
15 years 20 days ago
Local conservation scores without a priori assumptions on neutral substitution rates
Background: Comparative genomics aims to detect signals of evolutionary conservation as an indicator of functional constraint. Surprisingly, results of the ENCODE project revealed...
Janis Dingel, Pavol Hanus, Niccolò Leonardi...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 5 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux