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» Directional self-learning of genetic algorithm
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AUSAI
2005
Springer
14 years 4 months ago
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
Luke Temby, Peter Vamplew, Adam Berry
EC
2008
102views ECommerce» more  EC 2008»
13 years 11 months ago
Genetic Algorithms for Data-Driven Web Question Answering
We present1 an evolutionary approach for the computation of exact answers to Natural Languages (NL) questions. Answers are extracted directly from the N
Alejandro Figueroa, Günter Neumann
CEC
2008
IEEE
14 years 5 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan
CEC
2005
IEEE
14 years 4 months ago
A genetic algorithm for energy minimization in bio-molecular systems
Energy minimization algorithms for bio-molecular systems are critical to applications such as the prediction of protein folding. Conventional energy minimization methods such as th...
Xiaochun Weng, Lutz Hamel, Lenore M. Martin, Joan ...
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
14 years 2 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee