OPTIMAL AIR CONDITIONER CONFIGURATION USING SPARSE ESTIMATION AND EXTREME STATISTICS

We consider an air conditioning system design that minimizes the costs of electricity and equipment, while satisfying individual usage requirements. The problem finding optimal configuration can be formulated as a combinatorial optimization problem. When cost is evaluated using simulation software, computational time excessive. therefore propose efficient iterated local search method uses sparse estimation extreme statistics to reduce for evaluating electricity, which makes use information obtained during search. In addition, Thompson's update probability used effective neighborhood selection.