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EAAI
2010
107views more  EAAI 2010»
13 years 3 months ago
Honey bee social foraging algorithms for resource allocation: Theory and application
A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms (&q...
Nicanor Quijano, Kevin M. Passino
MEMETIC
2010
311views more  MEMETIC 2010»
13 years 3 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 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
2005
Springer
133views Optimization» more  GECCO 2005»
14 years 2 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 10 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...