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EC
2000
96views ECommerce» more  EC 2000»
14 years 9 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 4 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 1 months ago
3D airspace sectoring by evolutionary computation: real-world applications
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
Daniel Delahaye, Stephane Puechmorel
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 1 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 4 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen