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Title:Methods for Generating Alternative Solutions to Environmental Planning Problems
Author(s):Chang, Shoou-Yuh
Department / Program:Civil Engineering
Discipline:Environmental Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Sanitary and Municipal
Abstract:An optimization model is not a perfect representation of a complex environmental planning problem because not all important objectives can be captured in a model. Optimization models can be used in a planning process to generate planning alternatives that are good and different so that the analyst and the decision maker can examine a wide range of alternatives to gain insight and understanding. Modeling to generate alternatives (MGA) is designed to serve this purpose. Several MGA methods, a random method, a generating and screening (G&S) method and a Fuzzy HSJ method, are developed in this dissertation. This work also provides an assessment of the potential use of these MGA methods and an HSJ method for generating good and different alternative solutions; the methods are illustrated using a land use planning problem and a solid waste problem, which are formulated as linear programming models, and a wastewater treatment system planning problem, which is formulated as a mixed integer programming (MIP) model. The results show that various attractive and different plans for the problems can be obtained by using the above approaches.
Issue Date:1981
Type:Text
Language:English
Description:257 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1981.
URI:http://hdl.handle.net/2142/66896
Other Identifier(s):(UMI)AAI8127562
Date Available in IDEALS:2014-12-13
Date Deposited:1981


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