165 search results - page 7 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
EVOW
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
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 ...
CEC
2009
IEEE
14 years 3 months ago
2009
IEEE
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...