Abstract
An implementation of multi-objective optimization for design of an office room is presented through maximizing illuminance value and minimizing cooling energy consumption on a summer extreme day in a Mediterranean hot climate region. Existing literature shows different examples of multi-objective optimization problems in the field of performance-based building design. Principally, performance criteria such as energy and daylight should be integrated in the early stage of the conceptual design phase to provide energy-efficient solutions in buildings. Since most of the architectural design problems are difficult to solve, multi-objective optimization methods provide many design solutions to the decision makers. We used Non-Dominated Sorting Genetic Algorithm II namely NSGA-II to present many design alternatives by satisfying two conflicting objectives at the same time in the presented office room problem.
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Acknowledgement
The work and the contribution were supported by the SPEV project “Smart Solutions in Ubiquitous Computing Environments 2018”, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic.
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Kirimtat, A., Krejcar, O. (2018). Multi-objective Optimization at the Conceptual Design Phase of an Office Room Through Evolutionary Computation. In: Mouhoub, M., Sadaoui, S., Ait Mohamed, O., Ali, M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science(), vol 10868. Springer, Cham. https://doi.org/10.1007/978-3-319-92058-0_65
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DOI: https://doi.org/10.1007/978-3-319-92058-0_65
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