68 search results - page 4 / 14 » Domain Knowledge and Representation in Genetic Algorithms fo... |
APIN
2000
13 years 4 months ago
2000
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
ICTAI
1992
IEEE
13 years 8 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
EXPERT
1998
13 years 4 months ago
1998
This article illustrates the complexities of real-world planning and how we can create AI planning systems to address them. We describe the IMACS Project (Interactive Manufacturab...