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» Parameterised system design based on genetic algorithms
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TSMC
2002
93views more  TSMC 2002»
14 years 11 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 3 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 3 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
EICS
2010
ACM
15 years 4 months ago
Magellan, an evolutionary system to foster user interface design creativity
Fostering creativity in User Interface (UI) design is challenging for innovation. This paper explores the combination of model-based approaches and interactive genetic algorithms ...
Dimitri Masson, Alexandre Demeure, Gaëlle Cal...
NC
1998
138views Neural Networks» more  NC 1998»
15 years 1 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic