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PPSN
2004
Springer
14 years 27 days ago
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood
AMC
2007
115views more  AMC 2007»
13 years 7 months ago
Evolutionary programming based on non-uniform mutation
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
Xinchao Zhao, Xiao-Shan Gao, Ze-Chun Hu
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary rule-based system for IPO underpricing prediction
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
David Quintana, Cristóbal Luque del Arco-Ca...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 4 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
14 years 1 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...