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BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
15 years 9 days ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...
IJCNN
2006
IEEE
15 years 6 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
116
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AIR
2002
165views more  AIR 2002»
15 years 1 days ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
126
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EMO
2009
Springer
190views Optimization» more  EMO 2009»
15 years 6 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
75
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JISE
2008
95views more  JISE 2008»
15 years 4 days ago
Fundamental Matrix Estimation using Evolutionary Algorithms with Multi-Objective Functions
Cheng-Yuan Tang, Yi-Leh Wu, Yueh-Hung Lai