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» Solving Mastermind Using Genetic Algorithms
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CEC
2008
IEEE
14 years 3 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
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
14 years 14 days ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 2 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 2 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
JCIT
2008
129views more  JCIT 2008»
13 years 8 months ago
An Enhanced tree based MAODV Protocol for MANETs using Genetic Algorithm
Multicast routing protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication which includes application such as multipoint data dissemination and m...
E. Baburaj, V. Vasudevan