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EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
16 years 27 days ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 1 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 27 days ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
ALGORITHMICA
2006
94views more  ALGORITHMICA 2006»
15 years 6 months ago
Efficient Algorithms for k Maximum Sums
We study the problem of computing the k maximum sum subsequences. Given a sequence of real numbers x1, x2, . . . , xn and an integer parameter k, 1 k 1 2 n(n - 1), the problem in...
Fredrik Bengtsson, Jingsen Chen
OL
2010
128views more  OL 2010»
15 years 5 months ago
A biased random-key genetic algorithm for road congestion minimization
One of the main goals in transportation planning is to achieve solutions for two classical problems, the traffic assignment and toll pricing problems. The traffic assignment proble...
Luciana S. Buriol, Michael J. Hirsch, Panos M. Par...