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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
15 years 11 months ago
Fitness uniform deletion: a simple way to preserve diversity
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...
Shane Legg, Marcus Hutter
IJCNLP
2005
Springer
15 years 11 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
SOFTCO
2004
Springer
15 years 11 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
FPL
1999
Springer
147views Hardware» more  FPL 1999»
15 years 10 months ago
Synthia: Synthesis of Interacting Automata Targeting LUT-based FPGAs
This paper details the development, implementation, and results of Synthia, a system for the synthesis of Finite State Machines (FSMs) to field-programmable logic. Our approach us...
George A. Constantinides, Peter Y. K. Cheung, Wayn...
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 9 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