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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 1 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
ACMSE
2008
ACM
13 years 9 months ago
Optimization of the multiple retailer supply chain management problem
With stock surpluses and shortages representing one of the greatest elements of risk to wholesalers, a solution to the multiretailer supply chain management problem would result i...
Caio Soares, Gerry V. Dozier, Emmett Lodree, Jared...
CEC
2009
IEEE
14 years 2 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2008
IEEE
14 years 2 months ago
A comparative study of the effect of parameter scalability in multi-objective metaheuristics
Abstract—Some real-world optimization problems have hundreds or even thousands of decision variables. However, the effect that the scalability of parameters has in modern multiob...
Juan José Durillo, Antonio J. Nebro, Carlos...
EVOW
2010
Springer
13 years 6 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan