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TABLE OF CONTENTS - The Professional Green Building Council

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<strong>The</strong>me B: Creating a livable, healthy and environmentally viable citiesSelection methods include roulette wheel selection, stochastic universal samplingselection, truncation selection, tournament selection and local selection. <strong>The</strong>stochastic universal sampling selection method was used in this study because ofits high fitness accuracy.• Recombination/CrossoverEach selected individuals evolve to new individuals (offsprings) throughrecombination/ crossover. <strong>The</strong> combination is based on the combined variablesfrom the parents.• MutationMutation creates new variables by forcing changes in variables with lowprobabilities of modification. For example, for an individual consisting of binarynumbers, 0 is randomly changed to 1 and vice versa. This allows more diversevariable sets to have optimal solutions.3. APPLICATION3.1 selected building and ventilation simulationAn apartment building located in Jeju island, Korea was selected for this study.<strong>The</strong> floor plan is shown in Fig 4(a). Through site visits and questionnaires, it wasfound that the average of occupants are two per household and occupants spendmost of time in the living room and the bedroom.To simulate airflow rate entering the building, CONTAMW 2.4 developed by theNational Institute of Standards and Technology [15] was selected. <strong>The</strong> reason forCONTAMW is as follows: if a computationally intensive approach (e.g.,Computational Fluid Dynamics, CFD) is selected for a large number of simulationruns required for the GA optimization, this will become a hindrance. CONTAMW2.4 is not the most detailed approach compared to the CFD, but accurate enoughand suited for assessing ventilation phenomena in a building. CONTAMW, based399

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