Singh et al., 2014 - Google Patents
A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problemsSingh et al., 2014
View PDF- Document ID
- 16358320187755139680
- Author
- Singh H
- Isaacs A
- Ray T
- Publication year
- Publication venue
- 2014 IEEE Congress on Evolutionary Computation (CEC)
External Links
Snippet
Engineering optimization problems often involve multiple objectives and constraints that are computed via computationally expensive numerical simulations. While the severe nonlinearity of the objective/constraint functions demand the use of population based …
- 238000005457 optimization 0 title abstract description 23
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- G06F17/5009—Computer-aided design using simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G—PHYSICS
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- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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