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144
Voted
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 7 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
146
Voted
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
ICWL
2007
Springer
15 years 10 months ago
Using Constraint-Based Modelling to Describe the Solution Space of Ill-defined Problems in Logic Programming
Intelligent Tutoring Systems have made great strides in recent years. Many of these gains have been achieved for welldefined problems. However, solving ill-defined problems is imp...
Nguyen-Thinh Le, Wolfgang Menzel
130
Voted
CVPR
1999
IEEE
15 years 8 months ago
Sensor Planning for a Trinocular Active Vision System
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...
Peter Lehel, Elsayed E. Hemayed, Aly A. Farag
114
Voted
CORR
2008
Springer
105views Education» more  CORR 2008»
15 years 3 months ago
Interior-Point Algorithms for Linear-Programming Decoding
Abstract-- Interior-point algorithms constitute a very interesting class of algorithms for solving linear-programming problems. In this paper we study efficient implementations of ...
Pascal O. Vontobel