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» Iterative Filter Generation Using Genetic Programming
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 3 months ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu
VLDB
2005
ACM
152views Database» more  VLDB 2005»
14 years 9 months ago
Composing, optimizing, and executing plans for bioinformatics web services
The emergence of a large number of bioinformatics datasets on the Internet has resulted in the need for flexible and efficient approaches to integrate information from multiple bio...
Snehal Thakkar, José Luis Ambite, Craig A. Knoblo...
ITCC
2005
IEEE
14 years 2 months ago
Pareto-Optimal Hardware for Substitution Boxes
: In this paper, we propose a methodology based on genetic programming to automatically generate hardware designs of substitution boxes necessary for many cryptosystems such as DES...
Nadia Nedjah, Luiza de Macedo Mourelle
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 3 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
PLDI
2010
ACM
14 years 1 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky