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» Parameterised system design based on genetic algorithms
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CIMCA
2005
IEEE
15 years 1 months ago
Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization
This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
Mehmet Bodur, Adnan Acan, Talip Akyol
HASE
2007
IEEE
15 years 3 months ago
An Efficient Experimental Methodology for Configuring Search-Based Design Algorithms
Many problems in high assurance systems design are only tractable using computationally expensive search algorithms. For these algorithms to be useful, designers must be provided ...
Simon M. Poulding, Paul Emberson, Iain Bate, John ...
ICRA
2005
IEEE
90views Robotics» more  ICRA 2005»
15 years 5 months ago
Genetic Optimization and Simulation of a Piezoelectric Pipe-Crawling Inspection Robot
- Using the Darwin2k development software, a genetic algorithm (GA) was used to design and optimize a pipecrawling robot for parameters such as mass, power consumption, and joint e...
Geoffrey Hollinger, Jeri Briscoe
TWC
2008
117views more  TWC 2008»
14 years 11 months ago
On the design, selection algorithm and performance analysis of limited feedback transmit beamforming
Multiple-input multiple-output (MIMO) systems achieve significant diversity and array gains by using transmit beamforming. When complete channel state information (CSI) is not avai...
Alireza Ghaderipoor, Chintha Tellambura
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 4 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea