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» Results Merging Algorithm Using Multiple Regression Models
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123
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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 9 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
103
Voted
INFOCOM
2005
IEEE
15 years 8 months ago
Measurement-based multipath multicast
Abstract— We propose a measurement-based routing algorithm to load balance intradomain traffic along multiple paths for multiple multicast sources. Multiple paths are establishe...
Tuna Güven, Richard J. La, Mark A. Shayman, B...
125
Voted
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 8 months ago
Mission planning for joint suppression of enemy air defenses using a genetic algorithm
In this paper we present a genetic algorithm applied to the problem of mission planning for Joint Suppression of Enemy Air Defenses (JSEAD) in support of air strike operations. Th...
Jeffrey P. Ridder, Jason C. HandUber
93
Voted
ICAPR
2005
Springer
15 years 8 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
119
Voted
AAAI
2007
15 years 5 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...