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» Morphing methods in evolutionary design optimization
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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 4 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 2 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
14 years 3 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 5 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
14 years 5 months ago
On solving hierarchical problems with top down control
We review recent work on the Hierarchical-If-And-Only-If problem and present a new hierarchical problem, HIFF-M that does not fit with previous explanations for evolutionary diffi...
Susan Khor