Titlebook: JIMD Reports, Volume 42; Eva Morava,Matthias Baumgartner,Verena Peters Book 2018 Society for the Study of Inborn Errors of Metabolism (SSI

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Ahmed Reda,Ann Van Schepdael,Erwin Adams,Prasanta Paul,David Devolder,Mohamed A. Elmonem,Koenraad Ven of the fitness distance correlation (FDC) and the neutrality ratio for a given AutoML search space. Results of FDC are counter-intuitive and require a more in-depth analysis of a range of search spaces. Results of neutrality, in turn, show a strong positive correlation between the mean neutrality

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PLAYS

V. Hamilton,L. Santa María,K. Fuenzalida,P. Morales,L. R. Desviat,M. Ugarte,B. Pérez,J. F. Cabello,Ver presents results obtained using two versions of the Mallows model, which is a probabilistic model often used for permutation-based problems. For comparison, results obtained on the same test instances using an Ant Colony Optimization (ACO) algorithm, an Evolutionary Algorithm (EA) and a Variable

Asperity

Nouf Althonaian,Abdulrahman Alsultan,Eva Morava,Majid Alfadhelpproaches know nothing of the weights. The result is highly significant for complex real-world problems where objective weights are seldom known in advance since it suggests that a multi-objective approach can generate a solution close to the user preferred one without having knowledge of user prefe

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Sandra Pereira,Mariana Adri?o,Mafalda Sampaio,Margarida Ayres Basto,Esmeralda Rodrigues,Laura Vilariecoded into a composition solution by using a planning algorithm. This approach is compared to a previously proposed graph-based direct representation method, and experiment results show that the indirect representation can lead to a greater (or equivalent) quality while requiring a lower execution

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