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» Evolutionary Computation for Modeling and Optimization
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ICML
2009
IEEE
15 years 11 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
IJCAI
1993
15 years 5 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
ICOIN
2001
Springer
15 years 9 months ago
A 3D Modeling System for Creative Design
We propose a new approach to easily creating 3 0 geometric models. A technique called interactive evolutionary computation (IEC) is introduced to accelerate user’s invention and...
Hiroaki Nishino, Hideyuki Takagi, Sung-Bae Cho, Ko...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 10 months ago
Modeling XCS in class imbalances: population size and parameter settings
This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the ...
Albert Orriols-Puig, David E. Goldberg, Kumara Sas...
127
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ATAL
2007
Springer
15 years 10 months ago
Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
Liviu Panait, Karl Tuyls