Applications of Genetic Algorithms for Multi-Objective Resource Allocation of Construction Projects Under Certainty

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Feng, Chung-Wei

Contributors dc:contributor

• Scott A. Burns
• Liu, Liang Y.

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI9904453

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83453