798 search results - page 12 / 160 » Using Genetic Algorithms for Solving Hard Problems in GIS |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
EVOW
2004
Springer
14 years 5 days ago
2004
Springer
This paper presents an attempt to find a statistical model that predicts the hardness of the University Course Timetabling Problem by analyzing instance properties. The model may l...
IPPS
1998
IEEE
14 years 21 days ago
1998
IEEE
Parallel genetic algorithms (PGAs) have been developed to reduce the large execution times that are associated with serial genetic algorithms (SGAs). They have also been used to s...
GECCO
2006
Springer
14 years 3 days ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
ERCIMDL
2000
Springer
14 years 1 days ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...