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» Using Genetic Programming to Increase Rule Quality
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CEC
2010
IEEE
13 years 10 months ago
Evolving efficient limit order strategy using Grammatical Evolution
Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument of interest. A practical problem in trade execution is how ...
Wei Cui, Anthony Brabazon, Michael O'Neill
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 3 months ago
Comparison of tree and graph encodings as function of problem complexity
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
Michael D. Schmidt, Hod Lipson
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
14 years 25 days ago
A Honeycomb Development Architecture for Robust Fault-Tolerant Design
A new hardware developmental model that shows strong robust transient fault-tolerant abilities and is motivated by embryonic development and a honeycomb structure is presented. Ca...
Andy M. Tyrrell, Hong Sun
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 10 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
KBSE
2009
IEEE
14 years 3 months ago
Alattin: Mining Alternative Patterns for Detecting Neglected Conditions
—To improve software quality, static or dynamic verification tools accept programming rules as input and detect their violations in software as defects. As these programming rul...
Suresh Thummalapenta, Tao Xie