Multi-objective Optimization at the Conceptual Design Phase of an Office Room Through Evolutionary Computation
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.
KeywordsOffice room Energy Daylight Evolutionary computation
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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