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A prototype tool to assist architects during the early design stage of floorplans has been developed, consisting of an Evolutionary Program for the SpaceAllocation Problem (EPSAP), which generates sets of floor plan alternativesaccording to the architect's preferences; and a Floor Plan PerformanceOptimization Program (FPOP), which optimizes the selected solutions accordingto thermal performance criteria. The design variables subject to optimizationare window position and size, overhangs, fins, wall positioning, and buildingorientation. A procedure using a transformation operator with gradient descent,such as behavior, coupled with a dynamic simulation engine was developed forthe thermal evaluation and optimization process. However, the need to evaluateall possible alternatives regarding designing variables being used during theoptimization process leads to an intensive use of thermal simulation, whichdramatically increases the simulation time, rendering it unpractical. Analternative approach is a smart optimization approach, which utilizes anoriented and adaptive search technique to efficiently find the near optimumsolution. This paper presents the search methodology for the buildingorientation of floor plan designs, and the corresponding efficiency andeffectiveness indicators. The calculations are based on 100 floor plan designsgenerated by EPSAP. All floor plans have the same design program, location, andweather data, changing only their geometry. Dynamic simulation of buildings waseffectively used together with the optimization procedure in this approach tosignificantly improve the designs. The use of the orientation variable has beenincluded in the algorithm.

A gradient descent technique coupled with a dynamic simulation to determine the near optimum orientation of floor plan designs