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128
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WSC
2008
15 years 5 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
108
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GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 8 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
101
Voted
ICDIM
2007
IEEE
15 years 9 months ago
Exploration of multiple roots for a polynomial system
Several problems from engineering, chemistry, medicine, etc. can be formulated as a system of equations. Finding a solution for such a system sometimes requires high computational...
Crina Grosan, Ajith Abraham
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 8 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
135
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RSS
2007
147views Robotics» more  RSS 2007»
15 years 4 months ago
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning
Abstract— This paper presents the Discrete Search Leading continuous eXploration (DSLX) planner, a multi-resolution approach to motion planning that is suitable for challenging p...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi