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PPSN
1998
Springer
15 years 8 months ago
On Risky Methods for Local Selection under Noise
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
Günter Rudolph
TR
2010
158views Hardware» more  TR 2010»
14 years 10 months ago
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems
Software testing is an important issue in software engineering. As software systems become increasingly large and complex, the problem of how to optimally allocate the limited test...
Zai Wang, Ke Tang, Xin Yao
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 3 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ICANNGA
2007
Springer
120views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Evolutionary Approach to the Game of Checkers
A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algo...
Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
15 years 9 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...