GENETIC ALGORITHM-BASED OPTIMIZATION IN THE DEVELOPMENT
OF TROPOSPHERIC OZONE CONTROL STRATEGIES

Least Cost, Multiobjective, Alternative Generation, and Chance-Constrained Applications

By
Daniel Hopkins Loughlin

A dissertation submitted to the Graduate Faculty of
North Carolina State University
In Partial Fulfillment of the
Requirements for the Degree of
Doctor of Philosophy

CIVIL ENGINEERING
Raleigh, North Carolina

Copyright 1998

Committee Co-Chairs: E. Downey Brill, Jr. and S. Ranji Ranjithan
Other Committee Members: Morton Barlaz, John W. Baugh, Jr., Steven S. Fine

To download a section of this dissertation, click on the section title below. All files are gzipped postscript files, so you will need a postscript display program such as GhostView and an unzipping program to read them. I suggest that you not try to print the files without looking at them first. Total pages ~ 270.

Contents	File Size
Abstract	60.1 K
Acknowledgements	40.0 K
Biography	34.3 K
Disclaimer	22.2 K
Chapter 1. Introduction	248 K
Chapter 2. Least Cost Optimization	1322 K
Chapter 3. Multiobjective Optimization	900 K
Chapter 4. Stochastic Optimization	1211 K
Chapter 5. Generating Alternative Strategies	864 K
Chapter 6. Conclustions	137 K
References	364 K
Appendix A. Use of a Prototype Decision Support System in the Development and Comparison of Emissions Control Strategies	1009 K
Appendix B. Simulation of Air Quality Management Pollutant Trading Programs Using Mathematical Optimization	484 K
Appendix C. Representation of Control Strategies in the GA	71.1 K
Appendix D. Statement of Research Interests and Accomplishments	83.1 K