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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
14 years 4 days ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
ICCAD
1998
IEEE
81views Hardware» more  ICCAD 1998»
14 years 23 days ago
A simultaneous routing tree construction and fanout optimization algorithm
- This paper presents an optimal algorithm for solving the problem of simultaneous fanout optimization and routing tree construction for an ordered set of critical sinks. The algor...
Amir H. Salek, Jinan Lou, Massoud Pedram
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 2 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
14 years 4 days ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 9 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein