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» Evolutionary multiobjective optimization
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122
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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 6 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
85
Voted
GECCO
2004
Springer
15 years 6 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 6 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 6 months ago
Bluenome: A Novel Developmental Model of Artificial Morphogenesis
The Bluenome Model of Development is introduced. The Bluenome model is a developmental model of Artificial Morphogenesis, inspired by biological development, instantiating a subset...
Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
15 years 6 months ago
PID Controller Tuning for Stable and Unstable Processes Applying GA
During the last years the use of intelligent strategies for tuning Proportional-Integral-Derivative (PID) controllers has been growing. The evolutionary strategies have won an impo...
Marco Antonio Paz-Ramos, Jose Torres-Jimenez, Enri...