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EMO
2005
Springer
175views Optimization» more  EMO 2005»
15 years 7 months ago
A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume
We present a new analysis of the LebMeasure algorithm for calculating hypervolume. We prove that although it is polynomial in the number of points, LebMeasure is exponential in the...
R. Lyndon While
AMC
2007
115views more  AMC 2007»
15 years 2 months ago
Evolutionary programming based on non-uniform mutation
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
Xinchao Zhao, Xiao-Shan Gao, Ze-Chun Hu
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
15 years 7 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
EVOW
2009
Springer
15 years 6 months ago
Evolving Teams of Cooperating Agents for Real-Time Strategy Game
We apply gene expression programing to evolve a player for a real-time strategy (RTS) video game. The paper describes the game, evolutionary encoding of strategies and the technica...
Pawel Lichocki, Krzysztof Krawiec, Wojciech Jaskow...
EH
2000
IEEE
123views Hardware» more  EH 2000»
15 years 6 months ago
The Test Vector Problem and Limitations to Evolving Digital Circuits
How do we know the correctness of an evolved circuit? While Evolutionary Hardware is exhibiting its effectiveness, we argue that it is very difficult to design a large-scale digit...
Kosuke Imamura, James A. Foster, Axel W. Krings