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» Parameterised system design based on genetic algorithms
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IWANN
2001
Springer
15 years 4 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 5 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 28 days ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
AINA
2004
IEEE
15 years 3 months ago
A Personal Tourism Navigation System to Support Traveling Multiple Destinations with Time Restrictions
In this paper, we propose a personal navigation system (called PNS) which navigates a tourist through multiple destinations efficiently. In our PNS, a tourist can specify multiple...
Atsushi Maruyama, Naoki Shibata, Yoshihiro Murata,...
KES
2006
Springer
14 years 11 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
Joon-Min Gil, SeongHoon Lee