Sciweavers

21 search results - page 4 / 5
» Evolving Local Search Heuristics for SAT Using Genetic Progr...
Sort
View
EVOW
2007
Springer
13 years 9 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague
LION
2010
Springer
209views Optimization» more  LION 2010»
13 years 10 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
AIR
2004
130views more  AIR 2004»
13 years 5 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 6 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
MICRO
2002
IEEE
121views Hardware» more  MICRO 2002»
13 years 4 months ago
Convergent scheduling
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...