Abstract
In a daily basis the HVAC and architectural engineering professionals are faced with conditions that they need to make complex decisions while satisfying multiple objectives that may also be conflicting as well: decisions such as how to improve the design building element selection to minimize the cost and maximize the comfort level, how to organize the tasks in hands in optimum order to maximize the effectiveness of the operation while minimizing the consumed time, how to improve the firm design check lists and orderly follow these design check-list tasks to make sure that no major task is left unfulfilled while not hurting the project delivery schedule, and how to reach an agreement/compromise with other team members to make sure that all trades' targets such as electrical engineer desire to maximize possible daylighting, architect needs to maximize the size of glazing surfaces, and the mechanical engineer yearning to consume less energy are satisfied.
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Khazaii, J. (2016). Genetic Algorithm Optimization. In: Advanced Decision Making for HVAC Engineers. Springer, Cham. https://doi.org/10.1007/978-3-319-33328-1_10
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DOI: https://doi.org/10.1007/978-3-319-33328-1_10
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