A multiobjective discrete optimization model for land use allocation
Abstract
Land use allocation is a complex problem involving the consideration of multiple and often conflicting objectives. Many theoretical and operational models have been developed to identify optimal land use allocation strategies. Single-use allocation models have received little attention in the literature but appear to be a potentially important class of models. Single-use models are characterized by their combinatorial nature and consideration of multiple and conflicting objectives. This research is concerned with the development of an single-use model that extends and addresses several of the drawbacks of current single-use allocation models. In particular, the model is based on the irregular-grid configuration and considers both the economic and environmental impact of a proposed allocation strategy. A multiobjective implicit enumeration algorithm is developed that efficiently exploits the unique features of the model. The results of a LISP implementation algorithm are presented and discussed, and topics for further research, including a computer-based implementation environment, are suggested.
Degree
Ph.D.
Advisors
Wright, Purdue University.
Subject Area
Systems design
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