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» Robust optimization - methodology and applications
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AAAI
1998
15 years 8 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
WCE
2007
15 years 8 months ago
Genetic Algorithm Optimized PI and Fuzzy Sliding Mode Speed Control for DTC Drives
— This paper presents a detailed comparison between a conventional PI controller and a variable structure controller based on a fuzzy sliding mode strategy used for speed control...
Shady M. Gadoue, Damian Giaouris, J. W. Finch
CEC
2009
IEEE
16 years 1 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
212
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ENVSOFT
2007
258views more  ENVSOFT 2007»
15 years 6 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton
FOCS
2004
IEEE
15 years 10 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy