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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
15 years 7 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
139
Voted
IJCNLP
2005
Springer
15 years 7 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 7 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 6 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...
125
Voted
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 5 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