Abstract
Random search procedures have recently been successfully applied to the optimization of a variety of chemical engineering problems, including optimization of chemical processes by flow sheet simulation. These procedures represent the independent variables as random variables described by probability distributions. The adaptive random search procedure centers the distribution for each variable about the best search point found and examines this region for a better point. Thus, this technique has the ability of continuously moving the search region toward the optimum, which is particularly advantageous in following constraints. This study examines the efficiency of the adaptive random search technique as applied to six different problems, which have been previously solved by various other techniques. Copyright © 1976 American Institute of Chemical Engineers
Recommended Citation
M. W. Heuckroth et al., "An Examination Of The Adaptive Random Search Technique," AIChE Journal, vol. 22, no. 4, pp. 744 - 750, Wiley; American Institute of Chemical Engineers (AIChE), Jan 1976.
The definitive version is available at https://doi.org/10.1002/aic.690220417
Department(s)
Chemical and Biochemical Engineering
Publication Status
Full Access
International Standard Serial Number (ISSN)
1547-5905; 0001-1541
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Wiley; American Institute of Chemical Engineers (AIChE), All rights reserved.
Publication Date
01 Jan 1976
