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MICAI
2007
Springer
14 years 3 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
ICCAD
2008
IEEE
122views Hardware» more  ICCAD 2008»
14 years 5 months ago
Network flow-based power optimization under timing constraints in MSV-driven floorplanning
Abstract— Power consumption has become a crucial problem in modern circuit design. Multiple Supply Voltage (MSV) design is introduced to provide higher flexibility in controllin...
Qiang Ma, Evangeline F. Y. Young
AAIM
2009
Springer
107views Algorithms» more  AAIM 2009»
13 years 6 months ago
Optimal Auctions Capturing Constraints in Sponsored Search
Most sponsored search auctions use the Generalized Second Price (GSP) rule. Given the GSP rule, they try to give an optimal allocation, an easy task when the only need is to alloca...
Esteban Feuerstein, Pablo Ariel Heiber, Matí...
DAGM
2009
Springer
14 years 3 months ago
Optimal Parameter Estimation with Homogeneous Entities and Arbitrary Constraints
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
Jochen Meidow, Wolfgang Förstner, Christian B...
ECAI
2004
Springer
14 years 2 months ago
Robust Solutions for Constraint Satisfaction and Optimization
Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small number of variables lose their values, we are guaranteed ...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh