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» On the Brittleness of Evolutionary Algorithms
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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 13 days ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld
EH
2003
IEEE
136views Hardware» more  EH 2003»
15 years 11 months ago
Experimental Results in Evolutionary Fault-Recovery for Field Programmable
This paper presents experimental results of fast intrinsic evolutionary design and evolutionary fault recovery of a 4-bit Digital to Analog Converter (DAC) using the JPL stand-alo...
Ricardo Salem Zebulum, Didier Keymeulen, Vu Duong,...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 7 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur
CEC
2010
IEEE
15 years 6 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin