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138
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 3 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
132
Voted
CGO
2005
IEEE
15 years 9 months ago
Model-Based Framework: An Approach for Profit-Driven Optimization
Although optimizations have been applied for a number of years to improve the performance of software, problems that have been long-standing remain, which include knowing what opt...
Min Zhao, Bruce R. Childers, Mary Lou Soffa
118
Voted
ICPP
1999
IEEE
15 years 8 months ago
Compiler Optimizations for I/O-Intensive Computations
This paper describes transformation techniques for out-of-core programs (i.e., those that deal with very large quantities of data) based on exploiting locality using a combination...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
ICANN
2009
Springer
15 years 8 months ago
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...
Toshihiko Matsuka, Hidehito Honda, Arieta Chouchou...
137
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EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 8 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert