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94
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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 7 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
92
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 7 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 7 months ago
Is the island model fault tolerant?
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively appli...
José Ignacio Hidalgo, Juan Lanchares, Franc...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 7 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
111
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 7 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
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