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» Parallelism and evolutionary algorithms
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EMO
2005
Springer
126views Optimization» more  EMO 2005»
15 years 10 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 9 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
153
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PR
2006
76views more  PR 2006»
15 years 4 months ago
A pattern recognition-based approach for phylogenetic network construction with constrained recombination
The tree representation of evolutionary relationship oversimplifies the view of the process of evolution as it cannot take into account the events such as horizontal gene transfer...
M. A. H. Zahid, Ankush Mittal, Ramesh Chandra Josh...
CORR
2002
Springer
87views Education» more  CORR 2002»
15 years 4 months ago
Myths and Legends of the Baldwin Effect
This position paper argues that the Baldwin effect is widely misunderstood by the evolutionary computation community. The misunderstandings appear to fall into two general categor...
Peter D. Turney
EVOW
2009
Springer
15 years 2 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...