Sciweavers

506 search results - page 14 / 102
» Automated Search for Heuristic Functions
Sort
View
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
IJCAI
1993
13 years 9 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
JAIR
2006
179views more  JAIR 2006»
13 years 7 months ago
The Fast Downward Planning System
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
Malte Helmert
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 12 days ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
VLSID
2003
IEEE
126views VLSI» more  VLSID 2003»
14 years 8 months ago
Comparison of Heuristic Algorithms for Variable Partitioning in Circuit Implementation
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. This paper deals with the problem of determining the set of best free and bound var...
Muthukumar Venkatesan, Henry Selvaraj