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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 15 days ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
SAC
2003
ACM
15 years 11 months ago
Broadcast Program Generation for Unordered Queries with Data Replication
We study in this paper the problem of broadcasting dependent data for unordered queries. However, most prior studies on dependent data broadcasting are limited to the premise of n...
Jiun-Long Huang, Ming-Syan Chen
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ESWA
2010
105views more  ESWA 2010»
15 years 3 months ago
A numerical comparison between simulated annealing and evolutionary approaches to the cell formation problem
The Cell Formation Problem is a crucial component of a cell production design in a manufacturing system. This problem consists of a set of product parts to be manufactured in a gr...
Andres Pailla, Athila R. Trindade, Victor Parada, ...
EH
2005
IEEE
119views Hardware» more  EH 2005»
15 years 12 months ago
Evolutionary Computation Technologies for the Automated Design of Space Systems
The Evolvable Computation Group, at NASA’s Jet Propulsion Laboratory, is tasked with demonstrating the utility of computational engineering and computer optimized design for com...
Richard Terrile, Hrand Aghazarian, Michael I. Ferg...