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» Solving iterated functions using genetic programming
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IJON
2006
103views more  IJON 2006»
15 years 3 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
110
Voted
CEC
2005
IEEE
15 years 9 months ago
Evolving dispatching rules for solving the flexible job-shop problem
We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in ...
Nhu Binh Ho, Joc Cing Tay
ISDA
2009
IEEE
15 years 10 months ago
MAHATMA: A Genetic Programming-Based Tool for Protein Classification
Proteins can be grouped into families according to some features such as hydrophobicity, composition or structure, aiming to establish common biological functions. This paper pres...
Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor ...
ALP
1990
Springer
15 years 7 months ago
Equation Solving in Conditional AC-Theories
Conditional Equational Programming is an elegant way to uniformly integrate important features of functional and logic programming. Efficientmethods for equation solving are thus ...
Nachum Dershowitz, Subrata Mitra, G. Sivakumar
114
Voted
IJON
2008
177views more  IJON 2008»
15 years 3 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...