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EC
2002
180views ECommerce» more  EC 2002»
15 years 2 months ago
Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in solving multiobjective optimization problems, where the goal is to nd a number of ...
Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, Ecka...
MP
2002
110views more  MP 2002»
15 years 2 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
121
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NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 2 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
94
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TON
1998
68views more  TON 1998»
15 years 1 months ago
Optimal capacity placement for path restoration in STM or ATM mesh-survivable networks
Abstract—The total transmission capacity required by a transport network to satisfy demand and protect it from failures contributes significantly to its cost, especially in long...
Rainer R. Iraschko, Mike H. MacGregor, Wayne D. Gr...
TEC
2002
133views more  TEC 2002»
15 years 1 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben