TABLE OF CONTENTS - The Professional Green Building Council

Theme B: Creating a livable, healthy and environmentally viable citiesFigure 3: Integration of Genetic Algorithm with Pareto Optimality• Initial PopulationIn the genetic algorithm, each design variable is randomly selected withinboundary condition, represented as an integer. The integer is then converted into abinary vector consisting of either 0 or 1. The vector constitutes a populationconsisting of multiple subpopulations. A subpopulation consists of multipleindividuals, resulting in an initial population.• Fitness SharingFitness sharing was introduced in [12]-[13]. It increases the diversity of feasiblesolutions in the Pareto initial population. Fitness sharing is one of niching methodsto maintain diversity of a set of individuals. In the paper, the NSGA-II (a fast elitistNon-dominated Sorting Genetic Algorithm) proposed in [14] is used for fitnesssharing.• Selection398