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» Game Theory Using Genetic Algorithms
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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 2 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
ICTAI
2000
IEEE
14 years 26 days ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen
PPSN
1994
Springer
14 years 16 days ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 2 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
ICASSP
2009
IEEE
13 years 6 months ago
A game theoretical algorithm for joint power and topology control in distributed WSN
In this paper, the issue of network topology control in wireless networks using a fully distributed algorithm is considered. Whereas the proposed distributed algorithm is designed...
Pau Closas, Alba Pages-Zamora, Juan A. Ferná...