Short versus long-term urban planning using multi-objective optimization
Abstract
In this paper, we consider the short-term versus long-term urban planning problem as a bi-objective optimization problem. Two conflicting objectives considered are (i) maximization of compact urban development and (ii) minimization of good quality agricultural soil. In such problems, decision-making becomes an important task, which we highlight. Such problems usually involve an astronomically large search space, which must be negotiated well by an optimization algorithm. In this paper, we discuss the importance of using optimization and decision-making procedures in urban planning task in Switzerland and a future paper will demonstrate the results obtained.
Authors: Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten J. van Strien, Adrienne Grêt‐Regamey
Published in: Genetic and Evolutionary Computation Conference Companion (GECCO Companion) (2017)