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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
14 years 11 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 3 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
UPP
2004
Springer
15 years 3 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
CEC
2009
IEEE
15 years 4 months ago
Towards creative design using collaborative interactive genetic algorithms
— We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floor...
Juan C. Quiroz, Sushil J. Louis, Amit Banerjee, Se...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
An approach for QoS-aware service composition based on genetic algorithms
Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality Of Service (Qo...
Gerardo Canfora, Massimiliano Di Penta, Raffaele E...