1215 search results - page 9 / 243 » Application domain study of evolutionary algorithms in optim... |
HIS
2008
13 years 10 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
EC
2000
13 years 8 months ago
2000
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
CEC
2008
IEEE
14 years 3 months ago
2008
IEEE
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...