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GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
15 years 10 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
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 10 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 10 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 10 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 10 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