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82
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ICNC
2009
Springer
15 years 4 months ago
Reducing Boarding Time: Synthesis of Improved Genetic Algorithms
—With the aim to minimize boarding time and devise procedures for boarding strategies, this paper develop the synthesis of Improved Genetic Algorithms and simulation. This paper ...
Kang Wang
100
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TWC
2008
117views more  TWC 2008»
14 years 9 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
SPDP
1993
IEEE
15 years 1 months ago
Extended Distributed Genetic Algorithm for Channel Routing
In this paper, we propose a new parallel genetic alge rithm (GA), called Extended Distributed Genetic Algorithm (EDGA), for channel routing problem. The EDGA combines the advantag...
B. B. Prahlada Rao, R. C. Hansdah
TSMC
2002
93views more  TSMC 2002»
14 years 9 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick