874 search results - page 162 / 175 » Iterative Learning Control - Monotonicity and Optimization |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
TREC
2008
14 years 11 months ago
2008
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...