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131
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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 7 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
116
Voted
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
15 years 10 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
131
Voted
VL
1992
IEEE
192views Visual Languages» more  VL 1992»
15 years 7 months ago
Graphic Object Layout with Interactive Genetic Algorithms
Automatic graphic objectlayout methods havelong been studied in many application areas in which graphic objects should be laid out to satisfy the constraints specific to each appl...
Toshiyuki Masui
124
Voted
EVOW
2006
Springer
15 years 7 months ago
Optimisation of Constant Matrix Multiplication Operation Hardware Using a Genetic Algorithm
Abstract. The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems. Prev...
Andrew Kinane, Valentin Muresan, Noel E. O'Connor
135
Voted
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 9 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov