874 search results - page 131 / 175 » Iterative Learning Control - Monotonicity and Optimization |
ANOR
2010
15 years 2 months ago
2010
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
116
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
134
Voted
SCOPES
2004
Springer
15 years 8 months ago
2004
Springer
For mobile embedded systems, the energy consumption is a limiting factor because of today’s battery capacities. Besides the processor, memory accesses consume a high amount of en...
109
Voted
GPEM
2008
15 years 2 months ago
2008
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
124
click to vote
COLT
2005
Springer
15 years 8 months ago
2005
Springer
We present a general decomposition algorithm that is uniformly applicable to every (suitably normalized) instance of Convex Quadratic Optimization and efficiently approaches an o...