51 search results - page 7 / 11 » A hybrid model of evolutionary algorithms and branch-and-bou... |
COMPSAC
2004
IEEE
13 years 11 months ago
2004
IEEE
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
EVOW
2009
Springer
14 years 2 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
SAGA
2001
Springer
13 years 12 months ago
2001
Springer
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...