271 search results - page 19 / 55 » Multiobjective optimization algorithm for solving constraine... |
EVOW
2010
Springer
14 years 3 months ago
2010
Springer
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
HIS
2007
13 years 10 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
BTW
2009
Springer
13 years 11 months ago
2009
Springer
: The issue of write-read contention is one of the most prevalent problems when deploying real-time data warehouses. With increasing load, updates are increasingly delayed and prev...
GECCO
2009
Springer
13 years 6 months ago
2009
Springer
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...