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116
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ISICA
2007
Springer
15 years 11 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
138
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CVPR
1999
IEEE
15 years 9 months ago
1999
IEEE
We present an algorithm to solve the sensor planning problem for a trinocular, active vision system. This algorithm uses an iterative optimization method to rst solve for the tran...
136
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SODA
2000
ACM
15 years 6 months ago
2000
ACM
We discuss the problem of optimally "finishing" a partially sequenced, reconstructed DNA segment. At first sight, this appears to be computationally hard. We construct a...
164
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NIPS
2001
15 years 6 months ago
2001
Greedy approximation algorithms have been frequently used to obtain sparse solutions to learning problems. In this paper, we present a general greedy algorithm for solving a class...
148
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CEC
2010
IEEE
15 years 6 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...