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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 8 months ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 9 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
CEC
2003
IEEE
15 years 9 months ago
An evolutionary approach to microstructure optimisation of stereolithographic models
The aim of this work is to utilize an evolutationary algorithm to evolve the microstructure of an object created by a stereolithography machine. This should be optimised to be able...
Siavash Haroun Mahdavi, Sean Hanna
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 9 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
DGO
2003
137views Education» more  DGO 2003»
15 years 5 months ago
Time-Series Data Mining in a Geospatial Decision Support
This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combinati...
Dan Li, Sherri K. Harms, Steve Goddard, William J....