Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks.Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating networks. Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-09-302002enIn this paper, an optimized fuzzy controller is presented for the control of the environmental parameters at the building zone level. The occupants’ preferences are monitored via a smart card unit. Genetic algorithm optimization techniques are applied to shift properly the membership functions of the fuzzy controller in order to satisfy the occupants’ preferences while minimizing energy consumption. The implementation of the system integrates a smart card unit, sensors, actuators, interfaces, a programmable logic controller (PLC), local operating network (LON) modules and devices, and a central PC which monitors the performance of the system. The communication of the PLC with the smart card unit is performed using an RS 485 port, while the PLC-PC communication is performed via the LON network. The integrated system is installed and tested in the building of the Laboratory of Electronics of the Technical University of Crete.Δημοσίευση σε επιστημονικό περιοδικό http://creativecommons.org/licenses/by/4.0/Engineering Applications of Artificial Intelligence515417-428 Kolokotsa Dionysia Κολοκοτσα Διονυσια Stavrakakis Georgios Σταυρακακης Γεωργιος Kalaitzakis Kostas Καλαϊτζακης Κωστας Agoris D. Elsevier Fuzzy controller Genetic algorithms Control networks Local operating networks Building indoor environment management system