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Bell-Curve Based Evolutionary Strategies for Structural OptimizationEvolutionary methods are exceedingly popular with practitioners of many fields; more so than perhaps any optimization tool in existence. Historically Genetic Algorithms (GAs) led the way in practitioner popularity. However, in the last ten years Evolutionary Strategies (ESs) and Evolutionary Programs (EPS) have gained a significant foothold. One partial explanation for this shift is the interest in using GAs to solve continuous optimization problems. The typical GA relies upon a cumbersome binary representation of the design variables. An ES or EP, however, works directly with the real-valued design variables. For detailed references on evolutionary methods in general and ES or EP in specific see Back and Dasgupta and Michalesicz. We call our evolutionary algorithm BCB (bell curve based) since it is based upon two normal distributions.
Document ID
20010091333
Acquisition Source
Langley Research Center
Document Type
Other
Authors
Kincaid, Rex K.
(College of William and Mary Williamsburg, VA United States)
Date Acquired
September 7, 2013
Publication Date
January 30, 2001
Subject Category
Numerical Analysis
Funding Number(s)
CONTRACT_GRANT: NAG1-2320
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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