Sciweavers

4432 search results - page 212 / 887
» Solving Demodulation as an Optimization Problem
Sort
View
EOR
2006
87views more  EOR 2006»
15 years 3 months ago
Applying machine based decomposition in 2-machine flow shops
The Shifting Bottleneck (SB) heuristic is among the most successful approximation methods for solving the Job Shop problem. It is essentially a machine based decomposition procedu...
Saral Mukherjee, A. K. Chatterjee
99
Voted
ICS
2010
Tsinghua U.
16 years 29 days ago
Are Stable Instances Easy?
We introduce the notion of a stable instance for a discrete optimization problem, and argue that in many practical situations only sufficiently stable instances are of interest. T...
Yonatan Bilu, Nathan Linial
112
Voted
CEC
2005
IEEE
15 years 9 months ago
Relationships between internal and external metrics in co-evolution
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
Elena Popovici, Kenneth A. De Jong
ICML
2004
IEEE
16 years 4 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
117
Voted
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 9 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré