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EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
13 years 11 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
GECCO
2007
Springer
188views Optimization» more  GECCO 2007»
14 years 1 months ago
Using genetic algorithms for naval subsystem damage assessment and design improvements
Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, cont...
Christopher McCubbin, David Scheidt, Oliver Bandte...
IJON
2008
177views more  IJON 2008»
13 years 7 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
ITCC
2005
IEEE
14 years 1 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
IPPS
2003
IEEE
14 years 28 days ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...