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PPSN
2000
Springer
15 years 1 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
15 years 3 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
154views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
GECCO
2000
Springer
127views Optimization» more  GECCO 2000»
15 years 1 months ago
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
We present a new representation for a genetic algorithm to evolve molecular structures representing possible drugs that bind to a given protein target receptor. Our representation...
Gerard Kian-Meng Goh, James A. Foster
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 1 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson