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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 60
OPTIMIZATION AND CONTROL IN CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping and B. Kumar
Paper I.5

City Planning using a Multiobjective Genetic Algorithm and an Interactive Pareto Set Scanner

R. Balling, K. Day and J. Taber

Department of Civil and Structural Engineering, Brigham Young University, Provo, Utah, United States of America

Full Bibliographic Reference for this paper
R. Balling, K. Day, J. Taber, "City Planning using a Multiobjective Genetic Algorithm and an Interactive Pareto Set Scanner", in B.H.V. Topping, B. Kumar, (Editors), "Optimization and Control in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 35-39, 1999. doi:10.4203/ccp.60.1.5
Abstract
A genetic algorithm was used to search for optimal future land use and transportation plans for a high-growth city. Millions of plans were considered. A constraint was imposed to insure adequate housing for future residents. Objectives included the minimization of traffic congestion, the minimization of costs, and the minimization of change from the status quo. The genetic algorithm provided planners and decision-makers with a set of optimal plans known as the Pareto set. An interactive computer tool was developed to assist decision-makers in scanning the information in the Pareto set.

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