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CogNet
MIT Press CogNet is the essential research tool for scholars in the brain and cognitive sciences.
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Jeroen G. Rook; Carolin Benjamins; Jakob Bossek; Heike Trautmann; Holger H. Hoos; Marius Lindauer
Solving Many-Objective Optimization Problems Based on PF Shape Classification and Vector Angle Selection
Unavailable
Y. T. Wu; F. Z. Ge; D. B. Chen; L. Shi
Moritz Vinzent Seiler; Pascal Kerschke; Heike Trautmann
Frank Neumann; Carsten Witt
Ryoki Hamano; Kento Uchida; Shinichi Shirakawa; Daiki Morinaga; Youhei Akimoto
Bach Hoai Nguyen; Bing Xue; Mengjie Zhang
Zbyněk Pitra; Jan Koza; Jiří Tumpach; Martin Holeňa
Nicolas Roy; Charlotte Beauthier; Alexandre Mayer
Rafał Biedrzycki
Brahim Aboutaib; Sébastien Verel; Cyril Fonlupt; Bilel Derbel; Arnaud Liefooghe; Belaïd Ahiod
Cross-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
Unavailable
Zhixing Huang; Yi Mei; Fangfang Zhang; Mengjie Zhang; Wolfgang Banzhaf
Fangfang Zhang; Mazhar Ansari Ardeh; Yi Mei; Mengjie Zhang
Nicolás E. Garcí-Pedrajas; José M. Cuevas-Muñoz; Aida de Haro-García
Valentino Santucci; Josu Ceberio
P-NP Instance Decomposition Based on the Fourier Transform for Solving the Linear Ordering Problem
Unavailable
Xabier Benavides; Leticia Hernando; Josu Ceberio; Jose A. Lozano
Federico Pigozzi; Laura Nenzi; Eric Medvet
Jun He; Yuren Zhou
Marc Kaufmann; Maxime Larcher; Johannes Lengler; Xun Zou
Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems
Unavailable
Isidro M. Alvarez; Trung B. Nguyen; Will N. Browne; Mengjie Zhang