529 search results - page 1 / 106 » Population Training Heuristics |
EVOW
2005
Springer
14 years 4 months ago
2005
Springer
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
IJHIS
2007
13 years 11 months ago
2007
This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
CLASSIFICATION
2004
13 years 11 months ago
2004
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...