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» Representations for evolutionary algorithms
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EMO
2005
Springer
123views Optimization» more  EMO 2005»
15 years 10 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
155
Voted
EVOW
2004
Springer
15 years 10 months ago
Iteratively Inferring Gene Regulatory Networks with Virtual Knockout Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm op...
Christian Spieth, Felix Streichert, Nora Speer, An...
156
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AE
1999
Springer
15 years 9 months ago
Characterizing Locality in Decoder-Based EAs for the Multidimensional Knapsack Problem
The performance of decoder-based evolutionary algorithms (EAs) strongly depends on the locality of the used decoder and operators. While many approaches to characterize locality ar...
Jens Gottlieb, Günther R. Raidl
EH
2004
IEEE
102views Hardware» more  EH 2004»
15 years 8 months ago
Design Space Issues for Intrinsic Evolvable Hardware
This paper discusses the problem of increased programming time for intrinsic evolvable hardware (EHW) as the complexity of the circuit grows. We develop equations for the size of ...
James Hereford, David A. Gwaltney
BIRD
2008
Springer
113views Bioinformatics» more  BIRD 2008»
15 years 7 months ago
Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns
The Edinburgh Mouse Atlas aims to capture in-situ gene expression patterns in a common spatial framework. In this study, we construct a grammar to define spatial regions by combina...
Jano I. van Hemert, Richard A. Baldock