Applications of Genetic Algorithms for Multi-Objective Resource Allocation of Construction Projects Under Certainty
Feng, Chung-Wei
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/83453
Description
Title
Applications of Genetic Algorithms for Multi-Objective Resource Allocation of Construction Projects Under Certainty
Author(s)
Feng, Chung-Wei
Issue Date
1998
Doctoral Committee Chair(s)
Liu, Liang Y.
Scott A. Burns
Department of Study
Civil and Environmental Engineering
Discipline
Civil and Environmental Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
This research investigates the use of GAs (Genetic Algorithms) as the foundation for multi-objective construction process optimization. Based on GA principles, a set of algorithms is developed specifically for construction process analysis and optimization. This set of algorithms is also integrated with simulation techniques to analyze risks and uncertainties while addressing process optimization. Computerized systems based on these algorithms are able to analyze construction processes efficiently and identify the optimal solutions and the associated probabilities for large-scale construction projects.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
