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Issue 1.2

Simulations: Modeling, Measuring, and Disrupting Design

Jeanna Ripple
Editorial/Introduction

Model-based optimization is an innovative optimization strategy and particularly appropriate for time-intensive performance simulations. To demonstrate this appropriateness, this paper reviews simulation-based optimization algorithms and benchmarks several (single- and multi-objective) optimization tools on two problems involving annual daylight and glare simulations. The benchmarks demonstrate that model-based optimization outperforms other (single- and multi-objective) approaches on time-intensive, simulation-based optimization problems and thus puts new applications within reach. In this way, model-based optimization aids architectural designers and consultants to develop more resource- and energy-efficient buildings

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TAD is a journal of the Association of Collegiate Schools of Architecture (ACSA) and published by Taylor & Francis. Select issue content can be viewed on the press website here.

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