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Genetic Algorithm
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Genetic Algorithms: Principles and Perspectives
Genetic Algorithms: Principles and Perspectives,C. R Reeves,J. E Rowe
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Genetic Algorithms: Principles and Perspectives
(
Citations: 74
)
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C. R Reeves
,
J. E Rowe
Published in 2003.
Cumulative
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Citation Context
(44)
...The respective literature is quite rich, including books exclusively or partially dedicated to them, for example, Goldberg
(1989)
, Rawlins
(1991)
, Michalewicz
(1996)
, Coley
(1999)
, Reeves and Raw
(2003)
...
S. K. Arvanitidou
,
et al.
Comparative evaluation of two computational tools for flow simulation ...
...That is, T is the number of possible n × 1 integer vectors v whose elements sum to N and each of whose elements vi ∈ [0 ,N ]. The number T can be calculated in several different ways, as discussed in Appendix B. After we calculate the transition matrix, we can apply a wealth of Markov tools [
15
] to the transition matrix to find the statistical properties of BBO populations, including the limiting probability of each possible BBO ...
...Computational savings can be obtained by grouping Markov states together and then computing the probability that the population transitions from one group of populations to another group, as discussed in [
15
], but this is left for further research...
...This is exemplified by the extension of GA Markov models to dynamic system analysis [
15
]...
Daniel J. Simon
,
et al.
Markov Models for Biogeography-Based Optimization
...GA is based on Charles Darwin's theory of natural selection, whereby small variations in organisms can accumulate if they induce an increase in the overall fitness which improves the individuals' ability to reproduce (Reeves and Rowe
2003
)...
Mark Birkin
,
et al.
Calibration of a spatial simulation model with volunteered geographica...
...Some overview on the EA theory can be found in [6,
19
, 21]...
A. V. Eremeev
.
Some fully polynomial time randomized approximation scheme based on an...
...Initial population For binary strings, we can consider that the size of initial population N can be determined by ([
12
]) : N =[ 1 + log(−l(/lnP ∗ 2 )/log2] (P...
Hoai Minh Le
,
et al.
A combined DCA: GA for constructing highly nonlinear balanced boolean ...
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Citations
(74)
Comparative evaluation of two computational tools for flow simulation in zoned coastal aquifers
S. K. Arvanitidou
,
K. L. Katsifarakis
,
C. G. Koutitas
Journal:
Civil Engineering and Environmental Systems - CIV ENG ENVIRON SYST
, vol. ahead-of-p, no. ahead-of-p, pp. 1-9, 2012
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
(
Citations: 6
)
Daniel J. Simon
,
Richard Allen Rarick
,
Mehmet Ergezer
,
Dawei Du
Journal:
Information Sciences - ISCI
, vol. 181, no. 7, pp. 1224-1248, 2011
Markov Models for Biogeography-Based Optimization
(
Citations: 5
)
Daniel J. Simon
,
Mehmet Ergezer
,
Dawei Du
,
Richard Allen Rarick
Journal:
IEEE Transactions on Systems, Man, and Cybernetics - TSMC
, vol. 41, no. 1, pp. 299-306, 2011
Calibration of a spatial simulation model with volunteered geographical information
Mark Birkin
,
Nick Malleson
,
Andy Hudson-Smith
,
Steven Gray
,
Richard Milton
Journal:
International Journal of Geographical Information Science - GIS
, vol. 25, no. 8, pp. 1221-1239, 2011
MICROPHONE POSITION OPTIMIZATION FOR PLANAR SUPERDIRECTIVE BEAMFORMING
Ina Kodrasi
,
Thomas Rohdenburg
,
Simon Doclo
Conference:
International Conference on Acoustics, Speech, and Signal Processing - ICASSP
, pp. 109-112, 2011