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HIS
2008
14 years 11 months ago
Learning Spatial Grammars for Drawn Documents Using Genetic Algorithms
The problem of object recognition may be cast into a spatial grammar framework. This system comprises three novel elements: a spatial organisation of line features, an efficient t...
Simon J. Hickinbotham, Anthony G. Cohn
77
Voted
GECCO
2009
Springer
15 years 2 months ago
Using simulated annealing for producing software architectures
Automatic design of software architecture by use of genetic algorithms has already been shown to be feasible. A natural problem is to augment – if not replace – genetic algori...
Outi Räihä, Erkki Mäkinen, Timo Por...
ICCS
1993
Springer
15 years 1 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
PLDI
2004
ACM
15 years 3 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...