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» Dynamic populations in genetic algorithms
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 6 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
64
Voted
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 6 months ago
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
Frank W. Moore
97
Voted
SSPR
2010
Springer
14 years 10 months ago
Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems
We propose a fast population game dynamics, motivated by the analogy with infection and immunization processes within a population of “players,” for finding dominant sets, a p...
Samuel Rota Bulò, Immanuel M. Bomze, Marcel...
106
Voted
EC
2000
96views ECommerce» more  EC 2000»
15 years 8 days ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
CEC
2008
IEEE
15 years 7 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