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CEC
2010
IEEE
13 years 9 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
GEOINFORMATICA
2002
136views more  GEOINFORMATICA 2002»
13 years 7 months ago
Tabu Search Heuristic for Point-Feature Cartographic Label Placement
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...
Missae Yamamoto, Gilberto Câmara, Luiz Anton...
ICGA
1997
122views Optimization» more  ICGA 1997»
13 years 9 months ago
A Comparison of Global and Local Search Methods in Drug Docking
Molecular docking software makes computational predictions of the interaction of molecules. This can be useful, for example, in evaluating the binding of candidate drug molecules ...
Christopher D. Rosin, R. Scott Halliday, William E...
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
13 years 11 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
EVOW
2007
Springer
13 years 11 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...