270 search results - page 24 / 54 » Optimizing Global-Local Search Hybrids |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
74
Voted
HM
2007
Springer
15 years 3 months ago
2007
Springer
This paper deals with the Permutation Flow Shop scheduling problem with the objective of minimizing total flow time, and therefore reducing in-process inventory. A new hybrid meta...
104
Voted
CONSTRAINTS
2006
14 years 9 months ago
2006
Abstract. Constraint Programming (CP) offers a rich modeling language of constraints embedding efficient algorithms to handle complex and heterogeneous combinatorial problems. To s...
COMPSAC
2004
IEEE
15 years 1 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...
65
Voted
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...